Find Raters Who Deliver High-Signal Preference Labels
Post a job and hire from the largest network of preference raters, from generalists to domain experts in code, medical, legal, and more. Any annotation tool. 100,000+ pre-vetted specialists.
Where AI teams hire specialist raters & domain experts for preference data that moves the needle.
Generalists to Domain Experts
Raters for scale, SMEs for code, medical, legal, finance, and more
Any Annotation Tool
Use off-the-shelf, open-source, or your custom annotation tooling
Every Task Format
Pairwise ranking, best-of-N, multi-criteria scoring, failure tagging, and rewrites
Hire for Any Annotation Tool or Preference UI
Have your own tooling? Our talent works directly in your platform.
Pre-Vetted Experts
Countries
Languages
How OpenTrain Works for RLHF & Preference Data
Post a Job and Receive Pre-Screened Applicants
Describe your task format, rubric, and domain requirements. Receive proposals from raters with relevant experience in preference labeling, evaluation, or your target domain.
Hire and Add to Your Tools
Review candidates, make your hires, and invite them to your annotation platform, evaluation stack, or internal preference UI.
Communicate and Pay in One Place
Share rubrics and guidelines, message your team, and handle global payments from a single dashboard.
Start Building Your Preference Labeling Team Today
Post your first job and connect with raters who can deliver pairwise rankings, multi-criteria scores, response rewrites, and the high-signal preference data your alignment pipeline needs.
Post Your RLHF & Preference Data Job
Describe your requirements and receive a curated shortlist of domain experts matched to your project. 15% flat fee, no hidden markups.
Full-Service, End-to-End
- Recruiting & live vetting
- Onboarding & training
- Daily management & QA
- Dedicated program lead
Build a career training the world's top AI models.
Freelance AI Trainer?
Join 127,000+ freelancers
Data Labeling Company?
Find clients and recruit talent
Raters Who Deliver Consistent, High-Signal Preference Labels
Preference data quality depends on rater calibration and consistency — not just volume. Our raters pass live calibration tests and maintain 92%+ inter-annotator agreement across batches.
FAQs about Hiring for RLHF and Preference Data
Quick answers to common questions about preference labeling on OpenTrain.