
Easily collect high-quality human data for AI and research

Released May 23
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Source, vet, and pay 236,000+ AI trainers and data labelers
Talent network connecting AI companies with 236,000+ pre-vetted AI trainers and data labelers for RLHF, LLM evaluation, red teaming, and annotation.

A vetted talent marketplace and managed service for hiring human AI trainers, data labelers, and domain experts used to train, evaluate, and align AI models.
Post a job describing your RLHF, evaluation, or annotation requirements. Review the curated shortlist of pre-screened experts matched to your domain and language needs. Hire and deploy them directly into your existing annotation tools, then manage work and payments through the OpenTrain workspace, or opt for a fully managed service that handles recruiting, onboarding, and QA.
OpenTrain AI is a talent network and managed service for sourcing, vetting, and deploying human contributors for AI training and data labeling. The platform connects AI labs and companies with more than 236,000 pre-vetted domain experts across 190+ countries and 120+ languages, including PhDs, engineers, clinicians, legal specialists, and creative professionals.
Hiring teams can post a job in minutes and receive a curated shortlist of candidates matched to their domain, language, and skill requirements. OpenTrain screens resumes, runs AI interviews, and conducts skills testing so reviewers only see qualified matches. A 15% flat platform fee applies for self-service hiring, while a 20% managed service option handles recruiting, onboarding, QA, and ongoing team management with a dedicated program lead.
The platform supports RLHF preference ranking, DPO pair generation, red teaming, hallucination audits, reasoning step verification, multilingual evaluation, and multimodal annotation across text, image, video, audio, and 3D. Experts deploy directly into existing annotation tools such as Label Studio, Argilla, CVAT, V7, Encord, or custom environments, with OpenTrain acting as a talent layer rather than a data processor. Pricing is transparent: 15% for self-service, 20% for managed service, with no bundled markups or per-task software charges.
15% for self-service and 20% for managed service, charged as flat fees on what you pay talent. There are no per-task software charges, no bundled markups, and no custom proposals required.
No. OpenTrain provides people, not tools. Experts work directly inside whatever platform you already use, including Label Studio, Argilla, Encord, V7, CVAT, or your own custom tooling.
For managed service, every expert goes through live domain-specific testing with human proctors and a live interview. For self-service, candidates are pre-screened through AI matching and skills testing, and you run your own evaluation on the shortlist.
Self-service is best when you have an internal team that can manage annotators directly. Managed service is best when you need OpenTrain to handle recruiting, vetting, onboarding, QA, and ongoing team management. Many clients start with self-service for a pilot and move to managed for production.
You do. OpenTrain never hosts, stores, or accesses your training datasets. Experts work inside your tools, and all data stays in your environment.
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