Prolific
Prolific connects AI developers, researchers, and organizations with 200,000+ verified human participants to collect high-quality training data, preference feedback, and safety evaluations for AI models. The platform delivers results in hours through an API-first interface or managed services, supporting all data modalities and specialized domain experts across 80+ languages. Teams at Google, Stanford, Hugging Face, and Ai2 use Prolific for model evaluation, RLHF data collection, and benchmarking without the overhead of traditional annotation teams.
Prolific connects AI teams with 200,000+ verified human participants to collect high-quality training data, preference feedback, and safety evaluations across 80+ languages. The platform operates on an API-first model or through managed services, enabling teams to access results in hours rather than weeks—with simple tasks often completing the same day and specialized domain expert work taking a few days depending on requirements. Core capabilities include human evaluation and verification for model capability and safety assessment, alignment and preference data generation for RLHF and model fine-tuning, and access to profiled domain experts in STEM, programming, healthcare, and other specialized fields. Prolific's Protocol system runs 40+ identity verification checks during onboarding, and the platform supports all data modalities—text, image, audio, and video—while integrating with custom annotation tools and third-party solutions. Teams at Google, Stanford, Hugging Face, and Ai2 use Prolific for model evaluation, benchmarking, and safety testing without the overhead of traditional annotation teams. The platform offers flexible pricing through pay-as-you-go access for self-directed research teams or custom managed services for organizations needing complete datasets with expert curation and quality assurance.
Prolific states they use tools to analyze Submissions for authenticity checks and may use high-level insights to improve
No training opt-out mechanism was identified in the legal documents.
High risk across multiple dimensions. Only use with public, non-sensitive data.
Prolific states they use tools to analyze Submissions for authenticity checks and may use high-level insights to improve data quality and minimize fraud. However, they explicitly state 'We will not use Study data or Submissions for our own purposes' except for these specific fraud detection purposes. The use is limited and disclosed, but represents moderate risk for shadow AI training.
“we may also use these high-level insights as part of our wider work to improve data quality and minimise fraud on Prolific”
Users grant Prolific broad rights to review, access, and use study content and submissions for compliance, safeguarding, troubleshooting, and platform improvement purposes. However, the license is limited to operational necessity rather than unlimited commercial use. Moderate risk due to scope of permitted uses.
“we may review Study Data...for the purposes of troubleshooting, bug fixing and improving our platform and services generally”
Prolific shares data with multiple sub-processors including Google LLC, MongoDB, Amazon Web Services, MessageBird, Stitch, dbt Labs, Metabase, and Pendo.io. Data transfers to non-EEA locations are permitted under Standard Contractual Clauses. This represents significant third-party sharing risk.
“we use the following sub-processors in relation to Submissions: Google LLC, MongoDB, Inc., Amazon Web Services, Inc., MessageBird B.V., Stitch, Inc., dbt Labs, Inc., Metabase, Inc., Pendo.io, Inc.”
Data retention periods vary by service: AI Task Builder submissions deleted after 6 months, Research Consultancy data accessed for 1 year post-completion, Survey Builder submissions retained during service. Users can request deletion and have some control, but automatic retention periods create moderate risk.
“We will delete Submissions to AI Task Builder Studies from our records six (6) months after the Study has been completed”
Prolific explicitly states they do not claim intellectual property rights in user studies or submissions. Users retain ownership of their research content and study designs. This is clearly favorable to users.
“we do not claim any intellectual property rights in relation to your Studies”
Prolific references GDPR compliance and UK data protection law compliance, but the document does not explicitly mention SOC2, HIPAA, or ISO certifications. They reference compliance obligations but lack explicit third-party certification evidence, creating moderate uncertainty.
“We are subject to the General Data Protection Regulation, both directly and as transposed into UK law”
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