{ "dataset": "AI training data market rates", "description": "Median, middle half and range per normalised unit for each kind of data and side of the market: our arithmetic on the price observations, with the ids behind each.", "reviewed": "2026-10-17", "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "covers": "our compilation of the tables", "excludes": "quotes keep their sources' terms, and article text is not covered" }, "rows": [ { "group": "company", "side": "offer", "unitKey": "company", "segment": null, "use": null, "n": 93, "open": 8, "median": 316227.7660168379, "p25": 174114.3740820958, "p75": 692820.3230275509, "min": 9380.83151964686, "max": 12500000, "from": "2026-08-13", "to": "2026-10-17", "ids": [ "mode-bizbuydata-company-records-100k-5m", "mode-estimator-100-desk-10-years-eu-canada-australia", "mode-estimator-100-desk-10-years-other", "mode-estimator-100-desk-10-years-us", "mode-estimator-20-desk-3-years-us", "mode-estimator-50-desk-10-years-us", "shfa-healthcare-company-943k-paid-claim", "shfa-medical-facilities-300k-3m-claim", "pewter-estimator-100-employees-10-years-us", "ooak-partner-page-headline-1m-2026-10-15", "corpus-datacorpus-engagement-range", "corpus-datacorpus-largest-deal-to-date", "labelbox-prism-dataset-from-50k", "polyshares-general-contractor-record", "polyshares-marketing-agency-record", "polyshares-roofing-company-record", "polyshares-solar-company-record", "polyshares-typical-deal-range", "red-deer-3pl-500k", "red-deer-accounting-group-280k", "red-deer-data-payout-range", "red-deer-industrial-distributor-1-2m", "replay-20-50-employees", "replay-250-plus-employees", "replay-50-250-employees", "telegraph-lab-data-licensing-payments", "bi-small-business-six-figure-exploding-offers-48h", "miskell-crypto-startup-workspace-data-pending-15k", "corpus-bridge-illustrative-valuation", "grepped-company-data-range", "grepped-estimator-10-employees-founded-2020-0-1m", "grepped-estimator-100-employees-founded-2016-10-50m", "grepped-estimator-100-employees-founded-2016-undisclosed", "grepped-estimator-1000-employees-founded-2001-200m-plus", "grepped-estimator-200-employees-founded-2016-undisclosed", "grepped-estimator-25-employees-founded-2016-1-10m", "grepped-estimator-250-employees-founded-2011-50-200m", "grepped-estimator-50-employees-founded-2016-1-10m", "grepped-referrer-estimate-accounting-30-employees-10-years", "grepped-referrer-estimate-healthcare-100-employees-10-years", "grepped-referrer-estimate-marketing-agency-20-employees-5-years", "grepped-referrer-estimate-semiconductors-200-employees-10-years", "grepped-referrer-estimate-software-100-employees-10-years", "grepped-referrer-estimate-software-25-employees-5-years", "handshake-estimator-100-employees-10-years-europe", "handshake-estimator-100-employees-10-years-other", "handshake-estimator-100-employees-10-years-usa", "handshake-estimator-150-employees-15-years-usa", "handshake-estimator-20-employees-3-years-other", "handshake-estimator-20-employees-3-years-usa", "handshake-estimator-200-employees-20-years-usa", "handshake-estimator-30-employees-5-years-usa", "handshake-estimator-50-employees-10-years-usa", "handshake-estimator-50-employees-5-years-usa", "handshake-range", "micro1-estimator-100-employees-10-years-europe", "micro1-estimator-100-employees-10-years-other", "micro1-estimator-100-employees-10-years-us", "micro1-estimator-1000-employees-30-years-us", "micro1-estimator-20-employees-3-years-us", "micro1-estimator-250-employees-15-years-us", "micro1-estimator-30-employees-5-years-us", "micro1-estimator-50-employees-10-years-us", "micro1-estimator-50-employees-5-years-us", "micro1-estimator-500-employees-20-years-us", "micro1-referral-page-company-compensation", "nyne-estimator-10-24-employees-3-7-years-us", "nyne-estimator-101-250-employees-15plus-years-us", "nyne-estimator-25-49-employees-3-7-years-us", "nyne-estimator-25-49-employees-8-15-years-us", "nyne-estimator-250plus-employees-15plus-years-us", "nyne-estimator-50-100-employees-8-15-years-caeu", "nyne-estimator-50-100-employees-8-15-years-intl", "nyne-estimator-50-100-employees-8-15-years-us", "nyne-typical", "ooak-estimator-1-10-employees-2-years-winding-down-2-tools", "ooak-estimator-101-200-employees-7-years-operating-6-tools", "ooak-estimator-11-50-employees-4-years-closed-6-tools", "ooak-estimator-11-50-employees-4-years-operating-6-tools", "ooak-estimator-200-plus-employees-7-years-operating-6-tools", "ooak-estimator-51-100-employees-4-years-operating-3-tools", "ooak-estimator-51-100-employees-4-years-operating-6-tools", "ooak-estimator-51-100-employees-7-years-operating-6-tools", "scale-range", "superannotate-data-partnership-valuation-range", "troveo-estimator-100-employees-8-15-years", "troveo-estimator-1000-plus-employees-15-plus-years", "troveo-estimator-20-employees-3-7-years", "troveo-estimator-250-employees-8-15-years", "troveo-estimator-500-employees-8-15-years", "turing-lazarus", "micro1-tiers", "grepped-calibration-bid-8-person-3-years", "spirit-micro1-late-proposal-12-5m", "troveo-business-data-program", "spirit-google-opening-bid", "spirit-mercor-10m-own-deidentification", "spirit-mercor-backup-bid", "spirit-mercor-first-overbid-own-deidentification", "spirit-mercor-first-overbid-third-party", "warmly-offers" ] }, { "group": "company", "side": "offer", "unitKey": "document", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 50, "max": 50, "from": "2026-03-24", "to": "2026-03-24", "ids": [ "turing-lazarus-org-artifact" ] }, { "group": "company", "side": "offer", "unitKey": "contract", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2026-09-03", "to": "2026-09-03", "ids": [ "simpleclosure-assethub-10m-on-track" ] }, { "group": "company", "side": "licence", "unitKey": "company", "segment": null, "use": null, "n": 4, "open": 4, "median": 28311.388300841896, "p25": 21250, "p75": 2523717.082451263, "min": 10000, "max": 10000000, "from": "2026-04", "to": "2026-10-14", "ids": [ "ooak-deals-to-date-range", "miskell-crypto-startup-codebase-simpleclosure-25k", "simpleclosure-facilitated-deals-range", "spirit-google-sale-agreement-10m", "dead-startup", "simpleclosure-test-market-average-deal-10k", "sunset-defunct-company-data-purchases-similar-range", "cielo24-data-assets-mid-six-figures-simpleclosure" ] }, { "group": "code", "side": "pay", "unitKey": "task", "segment": null, "use": null, "n": 7, "open": 1, "median": 130, "p25": 98.73724356957945, "p75": 730.3300858899106, "min": 30, "max": 2200, "from": "2026-05-26", "to": "2026-10-15", "ids": [ "vetto-coding-automation-scenario-review-per-approved-task", "afterquery-university-swe-expert-per-approved-task", "micro1-github-contributor-coding-rl-env-per-task", "mercor-database-systems-evaluation-task-2026-10", "mercor-codebase-qa-python-per-approved-task", "mercor-frontier-code-agents-per-accepted-task-400", "snorkel-anthropic-marlin-code-review-per-task", "afterquery-cybersecurity-vulnerable-repo-task" ] }, { "group": "code", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 4, "open": 0, "median": 118.31679315479168, "p25": 91.79995667357375, "p75": 150.62305898749054, "min": 59.79130371550699, "max": 200, "from": "2025-11-26", "to": "2026-09-15", "ids": [ "mercor-software-engineering-expert-hourly", "mercor-vscode-application-user-hourly", "mercor-legacy-codebase-migration-hourly", "mercor-frontend-benchmark-90-hourly-plus-bonus-median-200" ] }, { "group": "code", "side": "offer", "unitKey": "repository", "segment": null, "use": null, "n": 6, "open": 2, "median": 1478.397839480233, "p25": 933.6812377484539, "p75": 24150.095153155064, "min": 300, "max": 31622.776601683792, "from": "2026-03-24", "to": "2026-10-14", "ids": [ "afterquery-university-swe-expert-per-codebase", "datavendor-codebase-up-to-20k", "pangea-repo-deep", "pangea-repo-light", "pangea-repo-typical", "turing-lazarus-repo-typical-payout", "graded-repo", "turing-lazarus-legacy-codebase" ] }, { "group": "code", "side": "offer", "unitKey": "token", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.00004, "max": 0.0001, "from": "2026-10-14", "to": "2026-10-14", "ids": [ "pangea-git-history-per-million-tokens", "pangea-source-code-per-million-tokens" ] }, { "group": "code", "side": "offer", "unitKey": "pull-request", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 1000, "max": 1000, "from": "2026-03-24", "to": "2026-03-24", "ids": [ "turing-lazarus-modern-codebase-per-pr" ] }, { "group": "code", "side": "offer", "unitKey": "contract-year", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2025-10-01", "to": "2025-10-01", "ids": [ "jetbrains-code-data-for-licenses" ] }, { "group": "code", "side": "licence", "unitKey": "repository", "segment": null, "use": null, "n": 1, "open": 1, "median": null, "p25": null, "p75": null, "min": 1578.95, "max": 1578.95, "from": "2026-09-14", "to": "2026-10-14", "ids": [ "pangea-paid-600k-across-380-codebases", "failed-codebase" ] }, { "group": "code", "side": "listing", "unitKey": "dataset", "segment": null, "use": null, "n": 3, "open": 1, "median": 150, "p25": 125, "p75": 98125, "min": 100, "max": 196100, "from": "2026-09-21", "to": "2026-10-11", "ids": [ "atcoder-dataset-minimum-budget", "infobay-legacy-codebases-20m-lines", "getly-jurgens-data-lab-code-agent-trajectories-551", "getly-jurgens-data-lab-premium-177-pass-reasoning-trajectories" ] }, { "group": "code", "side": "listing", "unitKey": "repository", "segment": null, "use": null, "n": 2, "open": 1, "median": null, "p25": null, "p75": null, "min": 98.7, "max": 65800, "from": "2026-09-02", "to": "2026-10-11", "ids": [ "infobay-dsa-code-repositories-per-repository", "odb-commercial-source-code-per-repository", "odb-octobit8-data-analysis-platform-repository" ] }, { "group": "code", "side": "listing", "unitKey": "record", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.0025, "max": 0.0025, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "brightdata-github-dataset-per-record" ] }, { "group": "code", "side": "collection", "unitKey": "record", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 8.94427190999916, "max": 8.94427190999916, "from": "2026-10-14", "to": "2026-10-14", "ids": [ "lxt-custom-coding-dataset-focused-single-language" ] }, { "group": "code", "side": "collection", "unitKey": "dataset", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2026-10-14", "to": "2026-10-14", "ids": [ "lxt-custom-coding-dataset-large-multi-language" ] }, { "group": "code", "side": "cost", "unitKey": "record", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.5, "max": 0.5, "from": "2026-02-25", "to": "2026-02-25", "ids": [ "together-coderforge-trajectories-cost" ] }, { "group": "video", "side": "pay", "unitKey": "hour-video", "segment": null, "use": null, "n": 4, "open": 0, "median": 2.9699999999999998, "p25": 2.855, "p75": 3.75, "min": 2.6, "max": 6, "from": "2026-06-11", "to": "2026-10-09", "ids": [ "atlas-capture-mecka-50-for-17-hours-video", "human-motion-data-recorder-3-per-approved-hour", "shaip-latam-egocentric-6-per-approved-hour", "india-housework-video-250-inr-per-hour-afp-2026-06" ] }, { "group": "video", "side": "pay", "unitKey": "task", "segment": null, "use": null, "n": 3, "open": 0, "median": 18, "p25": 10.504999999999999, "p75": 84, "min": 3.01, "max": 150, "from": "2026-08", "to": "2026-10-11", "ids": [ "oneforma-natural-conversation-video-18", "oneforma-sesame-movement-recording-150-per-session", "kaya-chemin-selfie-video-usd3-per-submission" ] }, { "group": "video", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 12.24744871391589, "max": 17.320508075688775, "from": "2026-09-03", "to": "2026-09-04", "ids": [ "opentrain-third-person-video-10-15", "opentrain-360-video-collection-15-20" ] }, { "group": "video", "side": "offer", "unitKey": "hour-video", "segment": null, "use": null, "n": 7, "open": 0, "median": 94.86832980505137, "p25": 87.42640687119285, "p75": 133.48469228349535, "min": 22.360679774997898, "max": 435, "from": "2024-04-11", "to": "2026-10-16", "ids": [ "fileyield-raw-unlabeled-video-050-5-per-minute", "newsflare-ai-training-footage-10-50-per-hour", "premium-creator-footage-up-to-6-per-minute", "troveo-footage-sells-075-3-per-minute", "bloomberg-regular-creator-footage-1-2-per-minute", "creator-video", "adobe-video-up-to-725-per-minute" ] }, { "group": "video", "side": "offer", "unitKey": "task", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 120, "max": 120, "from": "2024-04-11", "to": "2024-04-11", "ids": [ "adobe-video-120-per-submission" ] }, { "group": "video", "side": "offer", "unitKey": "record", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2024-04-05", "to": "2024-04-05", "ids": [ "photobucket-video-over-1" ] }, { "group": "video", "side": "licence", "unitKey": "hour-video", "segment": null, "use": null, "n": 6, "open": 0, "median": 41.95584412271571, "p25": 13.605, "p75": 113.35098104884838, "min": 5, "max": 157.2, "from": "2024-04-11", "to": "2026-10-14", "ids": [ "troveo-50m-paid-7m-hours-licensed-2026", "premium-archive-60-300-per-hour", "hollens-33000-for-1000-hours", "troveo-5m-for-1m-hours", "troveo-creator-900-hours-080-090-per-minute", "adobe-video-per-minute" ] }, { "group": "video", "side": "licence", "unitKey": "contract", "segment": null, "use": null, "n": 0, "open": 4, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2025-10-08", "to": "2026-06-26", "ids": [ "kled-12m-nonexclusive", "night-media-troveo-creator-deals", "troveo-top-creators-over-1m-each", "protege-broadcaster-1m-in-six-months" ] }, { "group": "video", "side": "licence", "unitKey": "contract-year", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2025-10-17", "to": "2025-10-17", "ids": [ "protege-sports-distributor-250k-year-one" ] }, { "group": "video", "side": "listing", "unitKey": "hour-video", "segment": null, "use": null, "n": 17, "open": 5, "median": 37.14, "p25": 14.65, "p75": 99.35, "min": 2.83, "max": 631.5302618244037, "from": "2024-04-05", "to": "2026-10-14", "ids": [ "stockfilm-commercial-training-licence-from-095-per-clip", "unidata-deepfake-videos-5000-clips-datarade", "unidata-fabric-masks-9270-videos-datarade", "unidata-ibeta-level1-35800-clips-datarade", "drivingfootage-pov-cycling-28h-opendatabay", "drivingfootage-colorado-wyoming-215h-opendatabay", "drivingfootage-los-angeles-310h-opendatabay", "drivingfootage-full-library-1750h-opendatabay", "akys-lwir-thermal-driving-video-82min-opendatabay", "shofo-recipebook-3-per-hour-producthunt", "infobay-vertical-storyline-2200h-opendatabay", "infobay-stem-classroom-10000h-batch-opendatabay", "infobay-vertical-ugc-30000h-opendatabay", "wreck-room-wreck7k-7000h-opendatabay", "princep-english-interview-video-up-to-20000h-opendatabay", "princep-indian-english-interview-video-8365h-opendatabay", "veritone-data-refinery-video-1-1000-per-hour", "joinai-synthetic-talking-head-3-5h-opendatabay", "ultrasports4k-5200-clips-opendatabay", "lipsynthesis-thvd-talking-head-500h-opendatabay", "calliope-hd-per-minute", "film-hour" ] }, { "group": "video", "side": "listing", "unitKey": "record", "segment": null, "use": null, "n": 2, "open": 2, "median": null, "p25": null, "p75": null, "min": 2.5, "max": 2.8284271247461903, "from": "2024-04-06", "to": "2026-10-11", "ids": [ "unidata-anti-spoofing-replay-42743-clips-datarade", "unidata-phone-webcam-video-30952-files-datarade", "capitalpower-aerial-drone-video-nigeria-500-files-opendatabay", "definedai-short-videos" ] }, { "group": "video", "side": "listing", "unitKey": "dataset", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 986800, "max": 986800, "from": "2026-08-14", "to": "2026-08-14", "ids": [ "nexdata-41605-people-multi-style-video-opendatabay" ] }, { "group": "video", "side": "listing", "unitKey": "hour-video", "segment": null, "use": "research", "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2026-10-14", "to": "2026-10-14", "ids": [ "stockfilm-research-licence-from-4900-up-to-25000-clips" ] }, { "group": "video", "side": "collection", "unitKey": "hour-video", "segment": null, "use": null, "n": 11, "open": 0, "median": 31.622776601683793, "p25": 23.064102540307857, "p75": 94.77225575051662, "min": 10.954451150103322, "max": 509.11688245431424, "from": "2026-03-27", "to": "2026-09-22", "ids": [ "dataxpower-crowdsourced-video-80-per-captured-hour", "dataxpower-studio-video-150-per-captured-hour", "dexset-egocentric-aria-glasses-finished-hour", "dexset-egocentric-gopro-mono-finished-hour", "dexset-egocentric-quest3-finished-hour", "dexset-egocentric-realsense-helmet-finished-hour", "dexset-ego-exo-paired-human-capture-per-hour", "welabeldata-video-tracking-100-hours-8000-15000", "dataxpower-crowd-video-collection-8-15", "dataxpower-general-video-collection-15-40", "dataxpower-video-annotation-008-025-per-second" ] }, { "group": "audio", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 31, "open": 0, "median": 24.49489742783178, "p25": 14.124402419595032, "p75": 41.92253699880405, "min": 3.1622776601683795, "max": 94.86832980505137, "from": "2023-12-04", "to": "2026-10-14", "ids": [ "aitraining-jobs-median-voice-acting-2026-10-14", "xai-ai-tutor-yoruba-audio-hourly", "opentrain-british-english-audio-evaluator-pay", "opentrain-spanish-speaking-voice-actor-for-ai-training-pay", "opentrain-bengali-audio-and-video-transcription-expert-pay", "opentrain-gujarati-audio-transcription-expert-pay", "opentrain-norwegian-audio-transcription-expert-pay", "opentrain-punjabi-transcription-expert-pay", "outlier-bengali-expressive-voice-trainer-pay", "outlier-chinese-expressive-voice-trainer-pay", "outlier-french-expressive-voice-trainer-pay", "outlier-thai-expressive-voice-trainer-pay", "outlier-vietnamese-expressive-voice-trainer-pay", "opentrain-japanese-audio-transcription-expert-pay", "opentrain-customer-service-phone-support-expert-pay", "opentrain-chinese-mandarin-transcription-expert-pay", "opentrain-portuguese-audio-transcription-expert-pay", "afterquery-hebrew-english-audio-contributor-pay", "remoexperts-english-conversation-recording-pay", "opentrain-tamil-audio-transcription-expert-pay", "opentrain-chinese-english-bilingual-audio-recording-pay", "opentrain-german-speech-data-annotation-expert-pay", "mercor-voice-actor-cx-agent-cloning-african-american-pay", "mercor-voice-actor-cx-agent-cloning-swiss-german-pay", "micro1-german-english-voice-recorder-pay", "afterquery-australian-english-audio-recording-pay", "babel-audio-french-conversation-partner-pay", "babel-audio-hindi-voice-actor-pay", "babel-audio-speaker-pay", "mercor-voice-actor-cx-agent-cloning-usa-pay", "karya-speaker-pay-hourly" ] }, { "group": "audio", "side": "pay", "unitKey": "hour-audio", "segment": null, "use": null, "n": 3, "open": 0, "median": 30, "p25": 21.36396103067893, "p75": 115, "min": 12.727922061357855, "max": 200, "from": "2025-09-26", "to": "2026-10-14", "ids": [ "naijavoices-recording-rate-per-hour", "opentrain-spanish-voice-recording-specialist-pay", "neon-call-recordings-per-minute" ] }, { "group": "audio", "side": "pay", "unitKey": "contract", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2026-05-22", "to": "2026-05-22", "ids": [ "elevenlabs-voice-creators-22m-cumulative" ] }, { "group": "audio", "side": "licence", "unitKey": "hour-audio", "segment": null, "use": null, "n": 9, "open": 0, "median": 76.15, "p25": 40, "p75": 2004.55, "min": 1.2, "max": 3609.4, "from": "2018-12", "to": "2026-10-06", "ids": [ "elevenlabs-voice-library-base-rate", "elevenlabs-voice-library-max-rate", "odia-speech-hour-price", "haitian-ruisheng-asr-dataset-licences-2020-per-hour", "haitian-ruisheng-tts-dataset-licences-2020-per-hour", "haitian-ruisheng-asr-dataset-licences-2019-per-hour", "haitian-ruisheng-tts-dataset-licences-2019-per-hour", "haitian-ruisheng-asr-dataset-licences-2018-per-hour", "haitian-ruisheng-tts-dataset-licences-2018-per-hour" ] }, { "group": "audio", "side": "listing", "unitKey": "hour-audio", "segment": null, "use": null, "n": 109, "open": 1, "median": 118.21, "p25": 65, "p75": 266.14, "min": 0.52, "max": 1680.9, "from": "2021-06-01", "to": "2026-10-14", "ids": [ "datarade-nexdata-indonesian-dialogue-747h-starting-price", "datarade-nexdata-indonesian-mobile-359h-starting-price", "datarade-remi-data-multilingual-speech-per-hour-yoruba", "naijavoices-commercial-waiver-5000", "speechdata-ai-indonesian-conversational-per-hour", "speechdata-ai-vietnamese-conversational-per-hour", "speechdata-guide-off-the-shelf-major-languages", "speechdata-guide-off-the-shelf-per-hour", "aixblock-ots-call-center-audio", "datarade-wiserbrand-english-hindi-calls-usage-per-hour", "datarade-wiserbrand-us-call-center-usage-per-hour", "elra-allies-french-broadcast-900h-commercial", "elra-american-children-read-50h-commercial", "elra-american-english-mobile-800h-commercial", "elra-american-english-read-mobile-215h-commercial", "elra-appen-italian-speech-corpus-1-44h-commercial", "elra-appen-spanish-speech-corpus-1-39h-commercial", "elra-brazilian-portuguese-mobile-1044h-commercial", "elra-bref120-french-read-100h-commercial", "elra-british-children-read-55h-commercial", "elra-british-english-mobile-831h-commercial", "elra-british-english-read-mobile-199h-commercial", "elra-cantonese-speecon-231h-commercial", "elra-chinese-kids-lower-87h-commercial", "elra-chinese-kids-upper-72h-commercial", "elra-cle-pakistan-urdu-61h-commercial", "elra-csj-japanese-650h-commercial", "elra-danish-speechdat-fdb4000-242h-commercial", "elra-dutch-polyphone-335h-commercial", "elra-egyptian-arabic-speecon-196h-commercial", "elra-ester2-french-broadcast-100h-commercial", "elra-ethiospeech-391h-commercial", "elra-french-mobile-769h-commercial", "elra-french-read-mobile-231h-commercial", "elra-german-accented-english-mobile-535h-commercial", "elra-german-mobile-1796h-commercial", "elra-german-read-mobile-211h-commercial", "elra-globalphone-hausa-8h-commercial", "elra-globalphone-tamil-20h-commercial", "elra-gram-vaani-hindi-130h-commercial", "elra-greek-speechdat-422h-commercial", "elra-hindi-mobile-759h-commercial", "elra-hindi-read-mobile-240h-commercial", "elra-indonesian-read-mobile-359h-commercial", "elra-japanese-kids-lower-116h-commercial", "elra-japanese-read-mobile-234h-commercial", "elra-korean-read-mobile-197h-commercial", "elra-lila-korean-mobile-81h-commercial", "elra-media-french-dialogue-70h-commercial", "elra-moveon-motorcycle-speech-noise-6h-commercial", "elra-orientel-egypt-colloquial-arabic-50h-commercial", "elra-orientel-jordan-colloquial-arabic-50h-commercial", "elra-orientel-tunisia-colloquial-arabic-50h-commercial", "elra-russian-mobile-1002h-commercial", "elra-spanish-emotional-tts-4h-commercial", "elra-spanish-read-mobile-227h-commercial", "elra-spanish-speechdat-fdb4000-246h-commercial", "elra-swiss-german-speechdat-110h-commercial", "elra-tcstar-english-epps-290h-commercial", "elra-tcstar-spanish-female-tts-10h-commercial", "elra-thai-read-mobile-203h-commercial", "elra-theradia-woz-86h-commercial", "elra-trad-pashto-broadcast-108h-commercial", "elra-uk-english-speecon-204h-commercial", "elra-vietnamese-mobile-760h-commercial", "elra-welsh-speechdat-170h-commercial", "nexdata-35000-hour-speech-set", "opendatabay-infobay-arabic-podcast-6024h", "opendatabay-infobay-english-podcast-1165h", "opendatabay-infobay-german-call-center-212h", "opendatabay-infobay-hindi-call-center-1587658h", "opendatabay-infobay-hindi-podcast-11607h", "opendatabay-infobay-mizo-call-center-468h", "opendatabay-infobay-nepali-call-center-229645h", "opendatabay-infobay-odia-call-center-12794h", "opendatabay-infobay-somali-call-center-1057h", "opendatabay-infobay-swahili-call-center-194331h", "opendatabay-infobay-tamil-call-center-15056h", "opendatabay-nexdata-arabic-saudi-full-duplex-268h", "opendatabay-nexdata-mlc-slm-challenge-1500h", "opendatabay-nexdata-tagalog-full-duplex-1100h", "opendatabay-pissedconsumer-english-customer-service-1000h", "opendatabay-pissedconsumer-hindi-customer-service-1000h", "speechdata-ai-amharic-conversational-per-hour", "speechdata-ai-arabic-egyptian-conversational-per-hour", "speechdata-ai-arabic-msa-conversational-per-hour", "speechdata-ai-bengali-conversational-per-hour", "speechdata-ai-english-south-africa-conversational-per-hour", "speechdata-ai-english-usa-conversational-per-hour", "speechdata-ai-french-dr-congo-conversational-per-hour", "speechdata-ai-french-france-conversational-per-hour", "speechdata-ai-german-conversational-per-hour", "speechdata-ai-hausa-conversational-per-hour", "speechdata-ai-hindi-conversational-per-hour", "speechdata-ai-japanese-conversational-per-hour", "speechdata-ai-korean-conversational-per-hour", "speechdata-ai-mandarin-taiwan-conversational-per-hour", "speechdata-ai-portuguese-brazil-conversational-per-hour", "speechdata-ai-spanish-mexico-conversational-per-hour", "speechdata-ai-spanish-spain-conversational-per-hour", "speechdata-ai-swahili-conversational-per-hour", "speechdata-ai-tamil-conversational-per-hour", "speechdata-ai-urdu-conversational-per-hour", "speechdata-ai-yoruba-conversational-per-hour", "definedai-dap-elite-plan", "definedai-dap-premium-plan", "definedai-dap-standard-plan", "definedai-dap-ultimate-plan", "ninjal-csj-commercial-2-year", "ninjal-csj-commercial-perpetual" ] }, { "group": "audio", "side": "listing", "unitKey": "record", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 1.27, "max": 1.49, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "datarade-krampfstadt-sfx-53k-one-off", "opendatabay-krampfstadt-sfx-53k-files" ] }, { "group": "audio", "side": "listing", "unitKey": "contract-year", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 22412, "max": 22412, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "datarade-krampfstadt-sfx-53k-yearly" ] }, { "group": "audio", "side": "listing", "unitKey": "hour-audio", "segment": null, "use": "research", "n": 36, "open": 0, "median": 13.91, "p25": 6.8625, "p75": 31.96, "min": 0.12, "max": 78.95, "from": "2026-10-11", "to": "2026-10-14", "ids": [ "ldc-babel-vietnamese-nonmember-fee", "ldc-aida-ukrainian-nonmember-fee", "ldc-aishell-1-nonmember-fee", "ldc-annodifp-session-audio-nonmember-fee", "ldc-atc-complete-nonmember-fee", "ldc-bolt-egyptian-arabic-cts-nonmember-fee", "ldc-call-my-net-1-nonmember-fee", "ldc-callhome-american-english-2e-nonmember-fee", "ldc-callhome-german-2e-nonmember-fee", "ldc-callhome-japanese-2e-nonmember-fee", "ldc-callhome-mandarin-2e-nonmember-fee", "ldc-callhome-spanish-2e-nonmember-fee", "ldc-fisher-english-part1-nonmember-fee", "ldc-fisher-levantine-arabic-nonmember-fee", "ldc-fisher-spanish-nonmember-fee", "ldc-gale-p2-arabic-bn-part1-nonmember-fee", "ldc-global-timit-learner-english-nonmember-fee", "ldc-hkust-mandarin-telephone-nonmember-fee", "ldc-iarpa-babel-zulu-nonmember-fee", "ldc-icsi-meeting-speech-nonmember-fee", "ldc-korean-telephone-conversations-nonmember-fee", "ldc-ksu-arabic-speech-nonmember-fee", "ldc-magic-data-mandarin-conversational-nonmember-fee", "ldc-material-somali-english-nonmember-fee", "ldc-material-swahili-english-nonmember-fee", "ldc-mixer6-chime8-nonmember-fee", "ldc-mlcts-2011-south-asian-nonmember-fee", "ldc-multi-channel-wsj-nonmember-fee", "ldc-polish-speech-database-nonmember-fee", "ldc-remix-telephone-nonmember-fee", "ldc-samromur-children-icelandic-nonmember-fee", "ldc-seame-code-switching-nonmember-fee", "ldc-switchboard-1-nonmember-fee", "ldc-torgo-dysarthric-nonmember-fee", "ldc-un-proceedings-speech-nonmember-fee", "ldc-wsj0-complete-nonmember-fee" ] }, { "group": "audio", "side": "collection", "unitKey": "hour-audio", "segment": null, "use": null, "n": 9, "open": 1, "median": 122.47448713915891, "p25": 90, "p75": 244.94897427831782, "min": 50, "max": 316.22776601683796, "from": "2026-01-01", "to": "2026-10-17", "ids": [ "aixblock-custom-speech-collection-per-delivered-hour", "aixblock-studio-quality-tts-data-per-hour", "datarade-spirelight-custom-on-site-speech-collection-per-hour", "datarade-spirelight-custom-pair-conversation-collection-per-hour", "aixblock-custom-1000-hours", "datarade-silencio-on-demand-conversations-per-hour", "rev-human-transcription-per-minute", "speechpad-human-transcription-24h-per-minute", "transcribeme-human-transcription-per-minute", "speech-custom" ] }, { "group": "audio", "side": "cost", "unitKey": "hour-audio", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 244.44, "max": 333.33, "from": "2025-09-04", "to": "2026-10-14", "ids": [ "naijavoices-dataset-creation-cost", "african-next-voices-9000-hours-programme-cost" ] }, { "group": "images", "side": "pay", "unitKey": "image", "segment": null, "use": null, "n": 8, "open": 0, "median": 0.5360076627227638, "p25": 0.295, "p75": 1.3125, "min": 0.22360679774997896, "max": 2.5, "from": "2026-02-05", "to": "2026-10-14", "ids": [ "dataforce-ronia-raw-photo-united-states-150-per-accepted-photo", "wirestock-old-photo-restoration-5-per-set-2-images", "wirestock-project-vertex-5-per-image-set-4-edits", "telus-face-deduplication-055-per-image", "shaip-face-deduplication-up-to-12-per-22-24-images", "firstsource-everyday-objects-028-per-approved-image", "freelancer-real-world-image-collection-zone1-020-025", "mindy-teams-photo-collection-030-per-approved-photo" ] }, { "group": "images", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 5, "max": 34.64101615137755, "from": "2025-11-11", "to": "2026-10-07", "ids": [ "opentrain-drone-maritime-image-annotation-20-60", "opentrain-recycling-image-polygon-5-per-hour" ] }, { "group": "images", "side": "pay", "unitKey": "task", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 7.5, "max": 7.5, "from": "2026-01", "to": "2026-01", "ids": [ "spexi-layerdrone-pilot-reward-per-mapping-mission" ] }, { "group": "images", "side": "offer", "unitKey": "image", "segment": null, "use": null, "n": 6, "open": 0, "median": 0.3492533988749895, "p25": 0.15347669943749473, "p75": 2.5206749999999998, "min": 0.007, "max": 17.320508075688775, "from": "2024-04-05", "to": "2026-02-12", "ids": [ "mitsukaru-mall-tv-display-photos-20-yen-per-image", "kled-camera-roll-about-7-per-1000-photos", "mitsukaru-mall-parked-motorbike-photos-500-yen-per-image", "mitsukaru-mall-building-exterior-photos-70-yen-per-image", "wirestock-artwork-up-to-15-20", "photo-archive" ] }, { "group": "images", "side": "licence", "unitKey": "image", "segment": null, "use": null, "n": 4, "open": 0, "median": 0.06313193047939451, "p25": 0.022938203435596428, "p75": 0.10723469228349533, "min": 0.0069, "max": 0.135, "from": "2023-05-08", "to": "2025-06-12", "ids": [ "shutterstock-2023-ai-revenue-per-image", "adobe-photo-per-image", "freepik-archive-per-image", "kneschke-shutterstock-contributor-fund-median-per-image-2023" ] }, { "group": "images", "side": "licence", "unitKey": "contract", "segment": null, "use": null, "n": 2, "open": 3, "median": null, "p25": null, "p75": null, "min": 377704.65, "max": 35355339.05932738, "from": "2024-04-06", "to": "2026-07-28", "ids": [ "onemednet-foundation-model-contract", "aerometrex-two-off-the-shelf-3d-licences", "getty-two-multiyear-deals-2025", "shutterstock-dds-revenue-q4-2025", "shutterstock-initial-big-tech-deals" ] }, { "group": "images", "side": "licence", "unitKey": "contract-year", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 30397368.307141326, "max": 30397368.307141326, "from": "2023-11", "to": "2023-11", "ids": [ "tempus-recursion-annual-licence-fee" ] }, { "group": "images", "side": "listing", "unitKey": "image", "segment": null, "use": null, "n": 24, "open": 9, "median": 1.7071067811865475, "p25": 0.2747, "p75": 5.266519945774904, "min": 0.026, "max": 40, "from": "2024-04-05", "to": "2026-10-11", "ids": [ "unidata-face-mask-167880-images-datarade", "unidata-kids-teens-aging-10214-images-datarade", "unidata-license-plates-3809704-images-datarade", "unidata-open-palm-hands-500000-images-datarade", "unidata-selfie-with-id-69435-images-datarade", "unidata-synthetic-passports-100000-images-datarade", "opendatabay-infobay-infectious-dermatology-images-20k", "opendatabay-infobay-xray-dicom-187k", "opendatabay-infobay-xray-jpg-193k", "datarade-unidata-facial-skin-condition-639", "datarade-unidata-hair-loss-scalp-6020", "histai-wsi-he-1-99-slides", "histai-wsi-he-100-999-slides", "histai-wsi-he-1000-9999-slides", "histai-wsi-he-10000-plus-slides", "histai-wsi-ihc-1-99-slides", "histai-wsi-ihc-100-999-slides", "histai-wsi-ihc-1000-9999-slides", "histai-wsi-ihc-10000-plus-slides", "skyfi-single-archive-satellite-image", "akys-a2-motorway-360-panoramas-2081-opendatabay", "akys-vilnius-360-panoramas-16318-opendatabay", "moyu-drone-park-vehicle-congestion-20000-images-opendatabay", "britton-lineartestpilot-850000-illustrations-opendatabay", "britton-lineartestpilot-10000-vector-images-opendatabay", "infobay-infographic-images-500000-batch-opendatabay", "infobay-svg-vector-images-873000-opendatabay", "grandini-jewelry-product-5000-images-opendatabay", "grandini-facial-expressions-2000-images-opendatabay", "joinai-drone-rooftop-leaf-20000-images-opendatabay", "datasetshop-bulk-photo-per-image", "definedai-nude-images", "image-marketplace" ] }, { "group": "images", "side": "listing", "unitKey": "record", "segment": null, "use": null, "n": 3, "open": 1, "median": 1.134, "p25": 1.0027, "p75": 1.882, "min": 0.8714, "max": 2.63, "from": "2026-08-07", "to": "2026-10-11", "ids": [ "unidata-anti-spoofing-real-87340-files-datarade", "opendatabay-schand-radiology-listing-2026-10-15", "nexdata-image-editing-1510000-sets-opendatabay", "nexdata-3d-hand-pose-116048-sets-opendatabay" ] }, { "group": "images", "side": "listing", "unitKey": "dataset", "segment": null, "use": null, "n": 1, "open": 1, "median": null, "p25": null, "p75": null, "min": 0, "max": 0, "from": "2026-10", "to": "2026-10", "ids": [ "datarade-aerialdataset-multi-view-drone-imagery", "tcia-nci-imaging-collections-free-access" ] }, { "group": "images", "side": "collection", "unitKey": "image", "segment": null, "use": null, "n": 4, "open": 1, "median": 0.4387298334620742, "p25": 0.06368492013686072, "p75": 0.9061862178478972, "min": 0.022360679774997897, "max": 1.224744871391589, "from": "2026-03-29", "to": "2026-10-11", "ids": [ "lxt-custom-image-classification-dataset-8k", "skyfi-single-tasking-satellite-image", "gigabpo-bounding-box-003-020-per-image", "welabeldata-image-classification-001-005", "welabeldata-semantic-segmentation-050-300" ] }, { "group": "images", "side": "collection", "unitKey": "task", "segment": null, "use": null, "n": 3, "open": 0, "median": 100, "p25": 77.5, "p75": 200, "min": 55, "max": 300, "from": "2017-07", "to": "2017-07", "ids": [ "penn-cbi-body-ct-reader-fee", "penn-cbi-neuro-ct-reader-fee", "penn-cbi-structural-mri-segmentation-per-dataset" ] }, { "group": "text", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 3, "open": 0, "median": 51.96152422706632, "p25": 39.673826051162315, "p75": 69.85558405049377, "min": 27.386127875258307, "max": 87.74964387392122, "from": "2026-08-21", "to": "2026-10-15", "ids": [ "mercor-humanities-network-band-2026-10-15", "alignerr-french-language-expert-hourly", "mercor-news-journalist-evaluator-hourly" ] }, { "group": "text", "side": "offer", "unitKey": "title", "segment": null, "use": null, "n": 3, "open": 6, "median": 355, "p25": 280, "p75": 1427.5, "min": 205, "max": 2500, "from": "2024-12-12", "to": "2025-11-18", "ids": [ "created-by-humans-high-end-offers-per-book", "belt-arcadia-ai-training-royalty-355-per-title", "bloomsbury-author-ai-royalty-rate", "jhup-author-return-per-title-per-licence", "arcadia-ai-training-royalty-205-per-title", "black-inc-author-ai-licence-split-50-50", "harpercollins-microsoft-author-share-per-title", "cup-author-ai-royalty-rate", "academic-presses-author-share-25-percent" ] }, { "group": "text", "side": "offer", "unitKey": "contract", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2023-12", "to": "2023-12", "ids": [ "apple-news-publisher-training-offers" ] }, { "group": "text", "side": "licence", "unitKey": "title", "segment": null, "use": null, "n": 10, "open": 2, "median": 2750, "p25": 880.8375000000001, "p75": 3081.8025000000002, "min": 97, "max": 5000, "from": "2022-09-13", "to": "2026-07-24", "ids": [ "korea-court-ai-corpus-damages-70pct-ebook-price-5-copies", "bartz-anthropic-gross-fund-per-listed-work", "bartz-anthropic-net-fund-per-claimed-work", "bartz-anthropic-per-work", "pinner-small-academic-press-ai-licence-author-cheque-500-gbp-per-monograph", "bartz-anthropic-default-author-share-per-work", "arcadia-history-press-ai-royalty-340-per-title", "bartz-anthropic-additional-work-3000", "taylor-francis-author-97-dollars-per-book", "bernoff-harpercollins-ai-licence-author-cheque-2500-per-title", "book-title", "korea-woongjin-booxen-ebook-settlement-70pct-list-price-3-copies" ] }, { "group": "text", "side": "licence", "unitKey": "contract-year", "segment": null, "use": null, "n": 9, "open": 2, "median": 16000000, "p25": 7071067.811865475, "p75": 50000000, "min": 3000000, "max": 70000000, "from": "2024-02", "to": "2026-09-23", "ids": [ "openai-bccl-times-of-india", "openai-indian-express", "wiley-fy2026-ai-licensing", "meta-news-corp-annual", "amazon-nyt-annual", "dotdash-meredith-openai-annual-licence", "newscorp-openai-five-year-licence", "reddit-openai-annual-licence", "taylor-francis-microsoft-first-year", "ft-openai-annual-licence", "reddit-google-annual-licence" ] }, { "group": "text", "side": "licence", "unitKey": "contract", "segment": null, "use": null, "n": 2, "open": 5, "median": null, "p25": null, "p75": null, "min": 23000000, "max": 203000000, "from": "2023-12", "to": "2026-07-30", "ids": [ "reddit-other-revenue-q2-2026", "korea-court-ai-corpus-award-78-rights-holders", "perplexity-comet-plus-pool", "taylor-francis-h1-2025-ai-data-licensing-revenue", "wiley-ai-deals-earned-to-august-2024", "reddit-january-2024-licences-aggregate", "axel-springer-openai-licence" ] }, { "group": "text", "side": "listing", "unitKey": "word", "segment": null, "use": null, "n": 9, "open": 4, "median": 0.001, "p25": 0.00010706369, "p75": 0.0024513125, "min": 7.4392105e-7, "max": 0.0085484234, "from": "2024-04-05", "to": "2026-10-11", "ids": [ "cleared-ip-60m-words-multilingual-per-word", "elra-amharic-english-commercial-per-word", "elra-crater-trilingual-commercial-per-word", "elra-dutch-parole-commercial-per-word", "elra-kabylie-amazigh-news-commercial-per-word", "elra-karl-may-corpus-commercial-per-word", "elra-multext-joc-commercial-per-word", "elra-wojood-arabic-ner-commercial-per-word", "infobay-bengali-nonstem-textbooks-per-word", "infobay-sanskrit-nonstem-textbooks-per-word", "infobay-urdu-nonstem-textbooks-per-word", "ldc-english-gigaword-5-reduced-licence-fee", "text-per-word" ] }, { "group": "text", "side": "listing", "unitKey": "record", "segment": null, "use": null, "n": 6, "open": 0, "median": 0.01260675, "p25": 0.004816575, "p75": 0.017724465, "min": 0.0025, "max": 0.15, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "brightdata-quora-dataset-per-record", "brightdata-wikipedia-dataset-per-record", "elra-arabizi-tweets-commercial-per-record", "elra-chinese-vietnamese-parallel-commercial-per-pair", "elra-english-vietnamese-parallel-commercial-per-pair", "pissedconsumer-reviews-complaints-per-record" ] }, { "group": "text", "side": "listing", "unitKey": "article", "segment": null, "use": null, "n": 5, "open": 0, "median": 0.21720859, "p25": 0.20849665, "p75": 0.22303457, "min": 0.037887441, "max": 0.23247355, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "elra-al-hayat-arabic-commercial-per-article", "elra-el-mundo-2020-2022-commercial-per-article", "elra-el-mundo-2020-commercial-per-article", "elra-el-mundo-2021-commercial-per-article", "elra-el-mundo-2022-commercial-per-article" ] }, { "group": "text", "side": "listing", "unitKey": "title", "segment": null, "use": null, "n": 4, "open": 6, "median": 77.947999, "p25": 60.18835344999999, "p75": 80.0120535, "min": 6.9170818, "max": 86.196552, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "asap-100k-ebooks-per-title", "asap-18k-epub-ebooks-per-title", "elra-memodata-french-books-commercial-per-title", "indian-languages-books-corpus-per-title", "infobay-arabic-nonstem-textbooks-per-title", "infobay-english-nonstem-textbooks-per-title", "infobay-english-stem-textbooks-per-title", "infobay-hindi-nonstem-textbooks-per-title", "infobay-indonesian-stem-textbooks-per-title", "infobay-legal-textbooks-per-title" ] }, { "group": "text", "side": "listing", "unitKey": "dataset", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 561.52, "max": 2125, "from": "2026-10-11", "to": "2026-10-17", "ids": [ "gumroad-silicon-dpo-platinum-commercial-499-eur", "ldc-forprofit-standard-membership-per-corpus" ] }, { "group": "text", "side": "listing", "unitKey": "document", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 4.876, "max": 48.61, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "infobay-academic-thesis-per-document", "infobay-legal-contracts-per-document" ] }, { "group": "text", "side": "listing", "unitKey": "token", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 8.1777778e-7, "max": 0.0000010607562, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "token-haven-arabic-corpus-per-token", "token-haven-multilingual-corpus-per-token" ] }, { "group": "text", "side": "listing", "unitKey": "word", "segment": null, "use": "research", "n": 21, "open": 4, "median": 0.00012903226, "p25": 0.000003, "p75": 0.00067236, "min": 8e-7, "max": 0.022412, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "elra-an-nahar-1995-2000-research-per-word", "elra-eci-mci-research-per-word", "elra-greek-newspaper-research-per-word", "elra-ice-gb-research-per-word", "elra-parole-french-research-per-word", "elra-press65-swedish-research-per-word", "ldc-ace-2003-multilingual-nonmember-fee", "ldc-annotated-english-gigaword-nonmember-fee", "ldc-aquaint-news-nonmember-fee", "ldc-arabic-gigaword-1-nonmember-fee", "ldc-chinese-english-news-magazine-parallel-nonmember-fee", "ldc-chinese-gigaword-1-nonmember-fee", "ldc-chinese-gigaword-2-nonmember-fee", "ldc-chinese-news-translation-part1-nonmember-fee", "ldc-chinese-treebank-9-nonmember-fee", "ldc-english-gigaword-1-nonmember-fee", "ldc-english-gigaword-2-nonmember-fee", "ldc-english-gigaword-5-nonmember-fee", "ldc-english-web-treebank-nonmember-fee", "ldc-french-gigaword-3-nonmember-fee", "ldc-isi-arabic-english-parallel-nonmember-fee", "ldc-isi-chinese-english-parallel-nonmember-fee", "ldc-prague-czech-english-treebank-2-nonmember-fee", "ldc-spanish-gigaword-2-nonmember-fee", "ldc-treebank-2-nonmember-fee" ] }, { "group": "text", "side": "listing", "unitKey": "dataset", "segment": null, "use": "research", "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 55.14, "max": 55.14, "from": "2026-10-17", "to": "2026-10-17", "ids": [ "gumroad-silicon-dpo-platinum-research-49-eur" ] }, { "group": "text", "side": "listing", "unitKey": "article", "segment": null, "use": "research", "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.00055126792, "max": 0.00055126792, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "ldc-aquaint-2-nonmember-fee-per-article" ] }, { "group": "text", "side": "collection", "unitKey": "record", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.02, "max": 0.02, "from": "2026-10-14", "to": "2026-10-14", "ids": [ "labelyourdata-nlp-entity-from" ] }, { "group": "text", "side": "collection", "unitKey": "title", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 129.36, "max": 129.36, "from": "2019-05", "to": "2019-05", "ids": [ "korea-nikl-written-corpus-project-per-title" ] }, { "group": "text", "side": "cost", "unitKey": "token", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.000002358557, "max": 0.000002358557, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "token-haven-translation-gpu-cost-per-token" ] }, { "group": "environment", "side": "pay", "unitKey": "environment", "segment": null, "use": null, "n": 29, "open": 0, "median": 1500, "p25": 1200, "p75": 2500, "min": 500, "max": 5000, "from": "2025-10", "to": "2025-10-27", "ids": [ "prime-intellect-env-bounties", "prime-intellect-bounty-android-world-environment", "prime-intellect-bounty-appworld-environment", "prime-intellect-bounty-bfcl-v3-environment", "prime-intellect-bounty-biomni-r0-environment", "prime-intellect-bounty-box-environment", "prime-intellect-bounty-clrs-textbook-environment", "prime-intellect-bounty-computerrl-environment", "prime-intellect-bounty-django-environment", "prime-intellect-bounty-figma-environment", "prime-intellect-bounty-intercom-environment", "prime-intellect-bounty-mind2web-environment", "prime-intellect-bounty-mle-bench-environment", "prime-intellect-bounty-monday-environment", "prime-intellect-bounty-nanogpt-speedrun-environment", "prime-intellect-bounty-next-js-bench-environment", "prime-intellect-bounty-notion-environment", "prime-intellect-bounty-openhands-integration-environment", "prime-intellect-bounty-osworld-environment", "prime-intellect-bounty-paperbench-environment", "prime-intellect-bounty-pytorch-environment", "prime-intellect-bounty-shop-r1-environment", "prime-intellect-bounty-stripe-environment", "prime-intellect-bounty-swe-bench-verified-environment", "prime-intellect-bounty-tau2-training-set-environment", "prime-intellect-bounty-webarena-environment", "prime-intellect-bounty-webflow-environment", "prime-intellect-bounty-webvoyager-environment", "prime-intellect-bounty-zapier-environment" ] }, { "group": "environment", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 12, "open": 0, "median": 88.78070351193549, "p25": 63.85832613629655, "p75": 100.98076211353316, "min": 10.1, "max": 150, "from": "2023-11-20", "to": "2026-10-15", "ids": [ "mercor-business-operations-network-band-2026-10-15", "terac-ml-engineer-rl-scenario-building-hourly", "terac-quickbooks-rl-env-builder-hourly", "micro1-ai-agent-evaluator-hourly", "turing-physical-sciences-terminal-task-hours", "mercor-swe-bench-task-auditor-hourly", "turing-agent-trace-collection-engineer-hourly", "arc-agi-2-human-tester-session-pay", "mechanize-intern-rl-task-hourly", "hcast-baseliner-hourly-pay", "mind2web-annotator-hourly-rate", "gpqa-expert-average-hourly-pay" ] }, { "group": "environment", "side": "pay", "unitKey": "task", "segment": null, "use": null, "n": 11, "open": 2, "median": 300, "p25": 175, "p75": 650, "min": 0.216, "max": 1855, "from": "2025-02-17", "to": "2026-10-16", "ids": [ "outlier-terminal-bench-task-up-to-1800", "outlier-tbench-task", "terac-corporate-finance-rl-env-per-task", "turing-genebench-pro-task-oct-2026", "afterquery-computational-task-author-200", "turing-terminal-bench-science-per-approved-task", "turing-saas-connector-long-horizon-task-per-approved-task", "turing-genebench-pro-task-sep-2026", "afterquery-scientific-computing-task-300", "careerflow-computer-use-rl-task-creator-per-task", "micro1-mobile-agent-qa-per-task", "re-bench-human-expert-pay-per-attempt", "swe-lancer-task-values" ] }, { "group": "environment", "side": "pay", "unitKey": "contract-year", "segment": null, "use": null, "n": 4, "open": 0, "median": 314626.43699419725, "p25": 280779.6854446942, "p75": 384807.6211353316, "min": 274590.60435491963, "max": 500000, "from": "2025-09-21", "to": "2026-10-11", "ids": [ "mechanize-apply-software-engineer-salary", "mercor-deeptune-environments-mts-salary", "afterquery-swe-rl-environments-salary", "mechanize-rl-env-engineer-salary-2025" ] }, { "group": "environment", "side": "pay", "unitKey": "demonstration", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 200, "max": 200, "from": "2026-10-14", "to": "2026-10-14", "ids": [ "mercor-ai-coding-session-per-session-2026-10-14" ] }, { "group": "environment", "side": "pay", "unitKey": "question", "segment": null, "use": null, "n": 1, "open": 1, "median": null, "p25": null, "p75": null, "min": 1581.1388300841897, "max": 1581.1388300841897, "from": "2024-09-15", "to": "2025-06-11", "ids": [ "frontiermath-problem-payment", "hle-question-bounty" ] }, { "group": "environment", "side": "licence", "unitKey": "contract", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2026-01-12", "to": "2026-01-12", "ids": [ "exclusivity" ] }, { "group": "environment", "side": "collection", "unitKey": "contract", "segment": null, "use": null, "n": 9, "open": 1, "median": 721943, "p25": 387298.33462074166, "p75": 1085518, "min": 3162.2776601683795, "max": 3046732, "from": "2024-02-15", "to": "2026-10-16", "ids": [ "rcsv-rl-environment-new-robot-integration", "epoch-rl-env-contract-quarter", "eu-ai-office-agentic-evaluation-interface-lot6-award-2025", "uk-aisi-evaluation-sourcing-fund-administration-2024", "uk-aisi-private-ctf-evaluations-wp2-2025", "anthropic-rl-env-spend-discussed-2025", "uk-aisi-specops-cyber-range-enterprise-networks-2025", "uk-aisi-hack-the-box-cyber-range-cni-2025", "uk-aisi-grey-swan-ctf-and-agent-safeguard-scenarios-2024", "uk-aisi-rethink-priorities-eval-task-suites-2024" ] }, { "group": "environment", "side": "collection", "unitKey": "task", "segment": null, "use": null, "n": 8, "open": 2, "median": 2837.117307087384, "p25": 826.2957481349658, "p75": 5971.506143813246, "min": 632.4555320336759, "max": 20000, "from": "2023-12-16", "to": "2026-10-15", "ids": [ "sequoia-mercor-scale-up-task-2000", "sequoia-mercor-task-price-range", "datavendor-request-per-task", "semianalysis-labs-pay-5000-plus-per-coding-task-2026", "epoch-rl-task-complex-swe-20k-rare", "rl-task", "mechanize-min-spend-per-rl-task", "aisi-evals-bounty-per-successful-task", "metr-task-bounty-300-per-professional-hour", "metr-task-bounty-10h-task-3000-4500" ] }, { "group": "environment", "side": "collection", "unitKey": "environment", "segment": null, "use": null, "n": 4, "open": 0, "median": 42677.66952966369, "p25": 28284.271247461904, "p75": 56864.91673103708, "min": 7071.067811865475, "max": 77459.66692414833, "from": "2026-01-12", "to": "2026-10-16", "ids": [ "rcsv-rl-environment-digital-twin-tier", "rcsv-rl-environment-starter-tier", "rcsv-rl-environment-suite-tier", "website-replica" ] }, { "group": "environment", "side": "collection", "unitKey": "hour-labor", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 187.3373350402957, "max": 187.3373350402957, "from": "2024-11-05", "to": "2024-11-05", "ids": [ "aisi-evals-bounty-per-development-hour" ] }, { "group": "environment", "side": "cost", "unitKey": "demonstration", "segment": null, "use": null, "n": 6, "open": 0, "median": 0.41550000000000004, "p25": 0.09325, "p75": 0.73775, "min": 0.0035, "max": 0.91, "from": "2024-11-27", "to": "2025-10-04", "ids": [ "opencua-agentnet-human-annotation-cost", "explorer-synthetic-web-trajectory-cost", "insta-synthetic-trajectories-total-cost", "agenttrek-synthetic-web-trajectory-cost", "mind2web-human-trajectory-cost", "synatra-synthetic-demonstration-cost" ] }, { "group": "environment", "side": "cost", "unitKey": "task", "segment": null, "use": null, "n": 5, "open": 0, "median": 1500, "p25": 400, "p75": 2400, "min": 0.6, "max": 7692, "from": "2025-04-07", "to": "2026-10-15", "ids": [ "sequoia-mercor-task-cost-basis-1500", "semianalysis-mechanize-400k-engineer-one-task-per-week", "opencua-cot-synthesis-cost-per-task", "mechanize-rl-task-lifetime-compute-cost", "paperbench-agent-rollout-api-cost" ] }, { "group": "environment", "side": "cost", "unitKey": "dataset", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 500000, "max": 500000, "from": "2026-10-15", "to": "2026-10-15", "ids": [ "sequoia-mercor-apex-agents-post-training-compute" ] }, { "group": "physical", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 33, "open": 1, "median": 20, "p25": 8.366600265340756, "p75": 32.2490309931942, "min": 1, "max": 120, "from": "2024-05-14", "to": "2026-10-11", "ids": [ "roboforce-data-collection-operator-hourly", "india-proposed-collector-rate-7-10", "freelancer-mobile-egocentric-india-750-1250-inr-hour", "opentrain-robotics-dexterity-video-10-20", "micro1-robot-whisperer-la-hourly", "welo-hydra-robot-data-collection-engineer-hourly", "micro1-umi-robot-training-operator-sf-hourly", "1x-data-collection-operator-swing-hourly", "remoexperts-new-zealand-egocentric-collector-hourly", "remoexperts-singapore-egocentric-collector-hourly", "welo-robot-manipulation-annotation-qc-philippines", "welo-robot-manipulation-video-annotator-philippines", "opentrain-household-video-us-10-15", "physical-intelligence-robot-operator-hourly", "tri-robot-teleoperator-hourly", "sunday-memory-developer-in-house-hourly", "india-garment-worker-egocentric-daily-pay", "appen-ego-embodied-collector-kuala-lumpur-hourly", "microagi-shift-app-recorder-hourly-ars-technica", "human-archive-collector-base-pay", "india-rival-egocentric-collector-pay", "dyna-robotics-data-collection-operator-hourly", "cnn-human-data-collection-hourly-wages", "micro1-nigeria-recorder-hourly", "1x-operator-data-collection-day-hourly", "1x-senior-operator-data-collection-day-hourly", "skild-robot-operator-pittsburgh-hourly", "onlinejobsph-egocentric-household-3-15", "bi-av-data-labelers-3-6-per-hour", "micro1-daily-routine-video-hourly", "skild-robot-operator-san-mateo-hourly", "ego-exo4d-participant-pay-per-recording-hour", "tesla-optimus-data-collection-operator-hourly", "figure-humanoid-robot-pilot-hourly" ] }, { "group": "physical", "side": "pay", "unitKey": "hour-video", "segment": null, "use": null, "n": 14, "open": 1, "median": 14.227808394979188, "p25": 6, "p75": 16.74038105676658, "min": 2.27, "max": 30, "from": "2025-11-19", "to": "2026-10-07", "ids": [ "opentrain-car-mounted-360-vehicle-navigation-recorder", "micro1-car-mounted-360-driving-video-hourly", "micro1-360-video-recorder-per-approved-hour", "freelancer-egodata-india-220-320-inr-per-approved-hour", "freelancer-egodata-india-320-inr-commercial", "micro1-smartphone-video-recorder-per-recorded-hour", "opentrain-household-task-video-us-14-15", "opentrain-first-person-video-latam-6-per-hour", "opentrain-first-person-household-collector-us-13-15", "claru-household-capture-latam-6-per-hour-footage", "claru-garage-capture-asia-5-per-hour", "claru-garage-capture-canada-10-per-hour", "claru-garage-capture-us-15-per-hour", "sunday-memory-developer-complex-per-approved-hour", "sunday-memory-developer-screening-per-approved-hour" ] }, { "group": "physical", "side": "licence", "unitKey": "hour-video", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.5809475019311126, "max": 2.58797217913949, "from": "2026-10-10", "to": "2026-10-10", "ids": [ "caijing-china-raw-monocular-data-transaction-15-20-cny-hour", "caijing-china-unknown-origin-robot-data-3-5-cny-hour" ] }, { "group": "physical", "side": "listing", "unitKey": "hour-video", "segment": null, "use": null, "n": 16, "open": 3, "median": 8.885, "p25": 4.4775, "p75": 25.156173070873834, "min": 2.85, "max": 79.13, "from": "2025-10-29", "to": "2026-10-11", "ids": [ "unidata-egocentric-4050h-datarade", "unidata-egocentric-pico-2321h-datarade", "unidata-egocentric-zed-pico-1729h-datarade", "infobay-stereo-imu-egocentric-5000h-opendatabay", "zhixiangyuan-china-egocentric-3000h-opendatabay", "infobay-narrated-egocentric-50000h-batch-opendatabay", "verbose-egocentric-factory-assembly-usa-25000h-opendatabay", "verbose-egocentric-household-colombia-250h-opendatabay", "verbose-egocentric-living-room-usa-34h-opendatabay", "verbose-egocentric-precision-electronics-japan-10000h-opendatabay", "deploy8-industrial-egocentric-stereo-49h-opendatabay", "nexdata-egocentric-10000h-4k-stereo-opendatabay", "merit-residential-mono-egocentric-south-asia-800h-opendatabay", "infobay-imu-egocentric-38000h-opendatabay", "egocentric-bulk", "india-packaged-egocentric-resale-per-hour", "india-raw-egocentric-price", "egocentric-raw", "joinai-pov-robotic-behavior-generated-2000h-opendatabay" ] }, { "group": "physical", "side": "listing", "unitKey": "record", "segment": null, "use": null, "n": 6, "open": 0, "median": 0.6599999999999999, "p25": 0.1925, "p75": 1.1685586535436916, "min": 0.003, "max": 6, "from": "2026-03-17", "to": "2026-10-14", "ids": [ "beemaps-ai-event-video-api", "beemaps-road-detections-per-1k", "mocaponline-crowd-pack-per-animation", "mocaponline-ladder-pack-per-animation", "mocaponline-walk-pack-per-animation", "mocaponline-premade-pack-per-clip-0-50-3" ] }, { "group": "physical", "side": "listing", "unitKey": "image", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 0.005, "max": 0.005, "from": "2026-10-14", "to": "2026-10-14", "ids": [ "beemaps-street-level-dashcam-image-api" ] }, { "group": "physical", "side": "listing", "unitKey": "dataset", "segment": null, "use": null, "n": 1, "open": 5, "median": null, "p25": null, "p75": null, "min": 2850, "max": 2850, "from": "2026-10-11", "to": "2026-10-14", "ids": [ "rcsv-bimanual-manipulation-pack-from", "rcsv-dexterous-grasping-pack-from", "rcsv-humanoid-locomotion-pack-from", "rcsv-vla-evaluation-pack-from", "datarade-bws-robot-mirror-suit-425-assets", "datarade-m-art-egocentric-pov-task-video" ] }, { "group": "physical", "side": "listing", "unitKey": "demonstration", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 101.33, "max": 101.33, "from": "2026-07-29", "to": "2026-07-29", "ids": [ "merit-asia-residential-teleop-600-records-opendatabay" ] }, { "group": "physical", "side": "collection", "unitKey": "hour-video", "segment": null, "use": null, "n": 20, "open": 0, "median": 37.73608980191092, "p25": 14.879234614174766, "p75": 58.57640687119285, "min": 3.4641016151377544, "max": 300, "from": "2026-05-18", "to": "2026-09-24", "ids": [ "cnfin-china-egocentric-data-quote-about-100-cny-hour", "cnfin-china-real-robot-teleop-data-quote-500-1000-cny-hour", "dataxpower-household-egocentric-80-200-per-captured-hour", "dataxpower-multisensor-200-450-per-captured-hour", "macrodata-human-video-annotation-per-hour", "dataxpower-bimanual-aloha-per-hour", "dataxpower-egocentric-wearable-annotated-per-hour", "dataxpower-humanoid-multisensor-per-hour", "dataxpower-simple-teleop-per-hour", "dexset-10000-hour-vla-program-budget", "dexset-annotation-pass-per-hour", "dexset-dense-mask-contact-annotation-per-hour", "dexset-language-instruction-labeling-per-hour", "dexset-multiview-exocentric-per-hour", "dexset-teleop-per-raw-hour", "india-startups-pay-factory-per-hour-egocentric", "dataxpower-india-crowd-video-2-6", "dataxpower-uk-eu-egocentric-managed-35-55", "dataxpower-us-egocentric-managed-30-45", "dataxpower-vietnam-egocentric-managed-12-18" ] }, { "group": "physical", "side": "collection", "unitKey": "demonstration", "segment": null, "use": null, "n": 14, "open": 0, "median": 13.477225575051662, "p25": 7.415063509461097, "p75": 70.16958687211138, "min": 0.7071067811865476, "max": 500, "from": "2026-03-31", "to": "2026-10-14", "ids": [ "rcsv-custom-episode-humanoid-dexterous", "rcsv-custom-episode-long-horizon-bimanual", "rcsv-custom-episode-mid-complexity-manipulation", "rcsv-custom-episode-novel-embodiment", "rcsv-custom-episode-simple-pick-place", "dataxpower-2000-bimanual-demo-program", "dataxpower-5000-demo-program", "dataxpower-humanoid-per-demo", "rcsv-cost-per-episode-bimanual-25-35", "rcsv-cost-per-episode-simple-pick-place-8-15", "rcsv-managed-2000-demos-total", "rcsv-managed-50-demos-total", "rcsv-managed-500-demos-total", "rcsv-managed-5000-demos-total" ] }, { "group": "physical", "side": "collection", "unitKey": "hour-labor", "segment": null, "use": null, "n": 4, "open": 0, "median": 94.15880433163923, "p25": 74.93447006292189, "p75": 101.51650429449553, "min": 34.785054261852174, "max": 106.06601717798213, "from": "2026-03", "to": "2026-10-11", "ids": [ "claru-teleoperation-per-operator-hour", "mocaponline-mocap-cleanup-editor-75-150-hour", "rcsv-teleoperator-rate-offshore-22-55", "rcsv-teleoperator-rate-us-domain-65-120" ] }, { "group": "physical", "side": "collection", "unitKey": "contract", "segment": null, "use": null, "n": 3, "open": 1, "median": 2121.3203435596424, "p25": 1458.0551717798212, "p75": 51060.660171779826, "min": 794.79, "max": 100000, "from": "2026-03-17", "to": "2026-10-14", "ids": [ "teesside-vr-mocap-studio-full-day-600-gbp", "datarade-nexdata-embodied-ai-collection-annotation", "rcsv-production-dataset-500-plus-demos", "mocaponline-mid-tier-optical-studio-day-1500-3000" ] }, { "group": "physical", "side": "collection", "unitKey": "dataset", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 1000, "max": 1000, "from": "2026-10-11", "to": "2026-10-11", "ids": [ "claru-egocentric-sample-pack-500-2000" ] }, { "group": "physical", "side": "collection", "unitKey": "record", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 100, "max": 100, "from": "2026-03-17", "to": "2026-03-17", "ids": [ "mocaponline-optical-studio-cost-per-clip-50-200" ] }, { "group": "physical", "side": "cost", "unitKey": "hour-video", "segment": null, "use": null, "n": 4, "open": 0, "median": 127, "p25": 92.8301270189222, "p75": 187, "min": 17.320508075688775, "max": 340, "from": "2024-03", "to": "2026-10-11", "ids": [ "claru-egocentric-production-cost-per-hour", "rcsv-teleop-data-fully-loaded-cost-2026-03", "rcsv-teleop-data-fully-loaded-cost-2025-q4", "rcsv-teleop-data-fully-loaded-cost-2024-early" ] }, { "group": "physical", "side": "cost", "unitKey": "demonstration", "segment": null, "use": null, "n": 4, "open": 0, "median": 6.875, "p25": 2.9577368754827784, "p75": 12.5, "min": 0.5809475019311126, "max": 20, "from": "2026-03-31", "to": "2026-05-27", "ids": [ "shenxiang-china-teleop-cost-per-task-episode-3-5-cny", "rcsv-cost-model-per-usable-demo-bimanual-assembly", "rcsv-cost-model-per-usable-demo-dexterous-manipulation", "rcsv-cost-model-per-usable-demo-simple-pick-place" ] }, { "group": "physical", "side": "cost", "unitKey": "hour-labor", "segment": null, "use": null, "n": 2, "open": 0, "median": null, "p25": null, "p75": null, "min": 16.1245154965971, "max": 26.153393661244042, "from": "2026-07-02", "to": "2026-07-02", "ids": [ "dexset-egocentric-collector-labor-cost", "dexset-teleop-operator-labor-cost" ] }, { "group": "physical", "side": "cost", "unitKey": "record", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 15.811388300841896, "max": 15.811388300841896, "from": "2026-03-17", "to": "2026-03-17", "ids": [ "mocaponline-inertial-suit-cost-per-clip-5-50" ] }, { "group": "people", "side": "pay", "unitKey": "hour-labor", "segment": null, "use": null, "n": 105, "open": 6, "median": 77.45966692414834, "p25": 54.55272678794342, "p75": 101.34100848126586, "min": 1.624807680927192, "max": 396.8626966596886, "from": "2023-01-18", "to": "2026-10-17", "ids": [ "aitraining-jobs-median-agentic-tasks-rl-environments", "aitraining-jobs-median-ai-evaluation-rating-rlhf", "aitraining-jobs-median-coding-software-evaluation", "aitraining-jobs-median-data-annotation-labeling", "aitraining-jobs-median-law-medicine-finance", "aitraining-jobs-median-math-stem", "aitraining-jobs-median-multilingual-localization", "aitraining-jobs-median-red-teaming-ai-safety", "aitraining-jobs-median-research-studies-surveys", "aitraining-jobs-median-robotics-physical-ai-data", "aitraining-jobs-median-transcription-audio-speech", "aitraining-jobs-median-writing-content", "alignerr-biologist-phd-hourly", "alignerr-biology-masters-hourly", "alignerr-chemist-phd-hourly", "alignerr-chemistry-masters-hourly", "mercor-average-contracted-rate-2026-10-17", "mercor-lawyers-hourly-2026-10-16", "meridial-freelance-ai-trainer-chemistry-hourly", "aitj-live-median-all-work-2026-10-15", "aitj-platform-median-handshake-ai-2026-10-15", "aitj-platform-median-terac-2026-10-15", "alignerr-dutch-audio-transcription-hourly-2026-10-15", "mercor-medical-expert-network-band-2026-10-15", "mercor-physician-network-band-2026-10-15", "aitj-platform-median-babel-audio-2026-10-14", "aitj-platform-median-mindrift-2026-10-14", "aitj-platform-median-remoexperts-2026-10-14", "aitj-platform-median-sovrano-ai-2026-10-14", "mercor-consulting-expert-hourly-2026-10-14", "mercor-legal-expert-hourly-2026-10-14", "xai-ai-tutor-languages-hourly-2026-10-15", "mercor-bioinformatics-experts-hourly", "aitj-platform-median-afterquery-2026-10-11", "aitj-platform-median-babel-audio-2026-10-11", "aitj-platform-median-mercor-2026-10-11", "aitj-platform-median-micro1-2026-10-11", "alignerr-accounting-finance-expert-hourly", "alignerr-ai-red-team-tester-hourly", "alignerr-average-pay-hourly", "alignerr-biology-expert-hourly", "alignerr-chemistry-expert-hourly", "alignerr-creative-writing-evaluator-hourly", "alignerr-lean4-proof-engineer-hourly", "alignerr-legal-policy-analyst-hourly", "alignerr-mathematics-expert-hourly", "alignerr-ml-evaluation-specialist-hourly", "alignerr-oncology-clinical-researcher-hourly", "alignerr-physicist-phd-hourly", "alignerr-software-developer-ai-assistant-hourly", "alignerr-voice-actor-german-hourly", "dataannotation-coding-hourly", "dataannotation-professional-hourly", "handshake-expert-hourly-sacra", "handshake-fellow-ai-evaluation-specialist-up-to-hourly", "handshake-fellow-fpa-analyst-up-to-hourly", "handshake-fellow-philosophy-expert-up-to-hourly", "handshake-fellow-software-engineer-up-to-hourly", "mercor-applied-physics-benchmark-hourly", "mercor-data-science-expert-hourly", "mercor-inorganic-chemistry-synthesis-expert-hourly", "mindrift-domain-experts-hourly", "mindrift-entry-level-hourly", "narrated-recording", "prolific-participant-pay-minimum", "prolific-participant-pay-recommended", "surge-workforce-top-contractor-hourly", "mercor-oncologist-hourly", "scale-hfc-research-advisor-hourly", "xai-ai-tutor-video-hourly", "handshake-ai-red-teamer-generalist-hourly", "xai-ai-tutor-design-hourly", "xai-ai-tutor-humanities-hourly", "mercor-lean-engineer-hourly", "xai-ai-tutor-legal-compliance-hourly", "xai-ai-tutor-software-engineering-hourly", "xai-ai-tutor-writing-hourly", "mercor-physicist-phd-hourly", "mercor-biotechnology-expert-hourly", "mercor-chemistry-expert-network-hourly", "mercor-audiobook-qa-english-hourly", "mercor-equity-research-expert-hourly", "mercor-app-user-generalist-hourly", "mercor-molecular-biology-hourly", "handshake-ai-red-teamer-cbrne-hourly", "handshake-ai-red-teamer-cybersecurity-hourly", "handshake-policy-trainer-image-evaluation-hourly", "handshake-safety-policy-evaluator-violence-hourly", "mercor-drug-discovery-scientist-hourly", "handshake-policy-trainer-generalist-hourly", "mercor-spanish-tutors-hourly", "handshake-policy-trainer-mental-health-hourly", "mercor-clinicians-hourly", "mercor-biochemistry-life-sciences-domain-expert-hourly", "mercor-investment-banking-ma-hourly", "mercor-partner-general-counsel-hourly", "mercor-ai-safety-norwegian-hourly", "mercor-ai-safety-vietnamese-hourly", "mercor-average-pay-105-h1-2026", "mercor-ai-safety-red-teamer-hourly", "mercor-headline-rate-141-june-2026", "mercor-writing-expert-hourly", "mercor-voice-actor-cx-cloning-usa-hourly", "mercor-chemist-talent-network-hourly", "outlier-effective-rate-cut", "mercor-meta-nova-project-hourly", "mercor-expert-up-to-200-oct-2025", "openai-ex-banker-financial-models-hourly", "mercor-average-pay-85-oct-2025", "abaka-math-annotator-hourly", "sama-agent-take-home-per-hour" ] }, { "group": "people", "side": "pay", "unitKey": "task", "segment": null, "use": null, "n": 4, "open": 2, "median": 211.80339887498948, "p25": 167.4553000547112, "p75": 717.7050983124842, "min": 69.82120021884471, "max": 2200, "from": "2024-08-08", "to": "2026-10-11", "ids": [ "mercor-chem-nuclear-safety-per-task", "mercor-ai-coding-session-task", "mercor-database-eval-task", "mercor-agent-engineer-task", "anthropic-universal-jailbreak-bounty-2025", "anthropic-universal-jailbreak-bounty-2024" ] }, { "group": "people", "side": "pay", "unitKey": "contract", "segment": null, "use": null, "n": 0, "open": 5, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2025-11-21", "to": "2026-10-11", "ids": [ "alignerr-weekly-payouts", "handshake-ai-cumulative-payouts", "mercor-daily-payouts-2026-10-11", "outlier-cumulative-paid-to-experts", "handshake-ai-monthly-expert-payouts" ] }, { "group": "people", "side": "offer", "unitKey": "document", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 6, "max": 6, "from": "2026-08-01", "to": "2026-08-01", "ids": [ "own-documents" ] }, { "group": "people", "side": "collection", "unitKey": "task", "segment": null, "use": null, "n": 17, "open": 0, "median": 0.08, "p25": 0.03162277660168379, "p75": 0.22360679774997896, "min": 0.015, "max": 44.721359549995796, "from": "2026-04-17", "to": "2026-10-17", "ids": [ "cvat-annotation-services-one-time-per-object", "cvat-annotation-services-subscription-per-object", "labelyourdata-bounding-box-per-object", "labelyourdata-keypoint-per-object", "labelyourdata-nlp-per-entity", "precisebpo-bounding-box-per-task", "roboflow-labeling-bounding-box-per-annotation", "roboflow-labeling-classification-keypoint-per-annotation", "roboflow-labeling-polygon-per-annotation", "usdata-bounding-box-per-object", "usdata-ner-annotation-per-text", "vendr-appen-self-service-simple-annotation", "vendr-appen-typical-per-task-range", "vendr-scale-typical-per-task-range", "habiledata-expert-code-medical-grading-per-task", "aisuperior-expert-preference-comparison-set", "nextwealth-expert-preference-task" ] }, { "group": "people", "side": "collection", "unitKey": "hour-labor", "segment": null, "use": null, "n": 9, "open": 0, "median": 18.973665961010276, "p25": 13.059862173851606, "p75": 94.33, "min": 6, "max": 152.72, "from": "2023-01-18", "to": "2026-10-14", "ids": [ "labelyourdata-annotator-hour-bill-rate", "gsa-calc-clinical-annotator-iii-ceiling", "gsa-calc-data-labeler-iii-ts-sci-ceiling", "gsa-calc-data-labeler-intermediate-ceiling", "gsa-calc-medical-annotator-iii-ceiling", "prolific-platform-fee-academic", "prolific-platform-fee-corporate", "habiledata-annotator-hour-bill-rate", "openai-sama-billing-rate-per-hour" ] }, { "group": "people", "side": "collection", "unitKey": "record", "segment": null, "use": null, "n": 6, "open": 0, "median": 2.58113883008419, "p25": 1.25, "p75": 5.2905694150420945, "min": 0.22360679774997896, "max": 7.0710678118654755, "from": "2024-09-09", "to": "2026-08-05", "ids": [ "habiledata-generalist-preference-comparison", "taskmonk-crowd-preference-ranking", "taskmonk-expert-preference-ranking", "aisuperior-simple-preference-comparison", "nextwealth-general-preference-comparison", "abaka-sft-entry-cost" ] }, { "group": "people", "side": "collection", "unitKey": "contract-year", "segment": null, "use": null, "n": 2, "open": 3, "median": null, "p25": null, "p75": null, "min": 150000000, "max": 200000000, "from": "2025-06-14", "to": "2026-09-01", "ids": [ "surge-google-contract", "surge-meta-spend-2024", "micro1-net-run-rate-of-gross", "handshake-largest-lab-accounts-run-rate", "google-scale-planned-2025-spend" ] }, { "group": "people", "side": "collection", "unitKey": "contract", "segment": null, "use": null, "n": 1, "open": 13, "median": null, "p25": null, "p75": null, "min": 9.95, "max": 9.95, "from": "2023-01-18", "to": "2026-10-11", "ids": [ "handshake-ai-gross-margin-sacra", "mercor-contractor-share-of-revenue", "opentrain-managed-service-fee", "opentrain-self-service-marketplace-fee", "surge-price-premium-vs-competitors", "mercor-gross-margin-2025", "mercor-gross-margin-q2-2026", "mercor-gross-margin-target-2027", "mercor-h1-2026-gross-revenue-ai-labs-share", "thoroughly-intrigued-low-cost-delivery-margin", "dealroom-mercor-contractor-payout-share", "nextwealth-enterprise-alignment-programme", "mercor-billing-markup-feb-2024", "openai-sama-contracts-total" ] }, { "group": "people", "side": "collection", "unitKey": "demonstration", "segment": null, "use": null, "n": 1, "open": 0, "median": null, "p25": null, "p75": null, "min": 12.24744871391589, "max": 12.24744871391589, "from": "2026-04-28", "to": "2026-04-28", "ids": [ "taskmonk-sft-demonstrations-10k" ] }, { "group": "people", "side": "collection", "unitKey": "dataset", "segment": null, "use": null, "n": 0, "open": 1, "median": null, "p25": null, "p75": null, "min": null, "max": null, "from": "2026-08-20", "to": "2026-08-20", "ids": [ "micro1-off-the-shelf-dataset-gross-margin" ] } ] }