RLHF Services: Hire Raters or Run a Managed Program
OpenTrain is the marketplace for RLHF services and preference data — from pairwise ranking and multi-criteria scoring to response rewrites and failure tagging. Post a job and hire from 100,000+ pre-vetted raters and domain experts in code, medical, legal, and more. Any annotation tool. Or have OpenTrain run your end-to-end RLHF program.
LLM & Agent Solutions / RLHF & Preference Data jobs are matched through platform-native screens and expert validation.
Where AI teams hire specialist raters & domain experts for RLHF services and preference data that move 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
RLHF Service Coverage
Pairwise ranking, best-of-N, multi-criteria scoring, response rewrites, and failure tagging
Hire RLHF Raters for Any Annotation Tool
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How RLHF Services Work on OpenTrain
Post Your RLHF Job
Specify the rubric, task formats (pairwise, multi-criteria, rewrites, failure tagging), languages, and the annotation tool your team uses. Published pricing means you know the marketplace fee upfront.
Review Your Shortlist
Get a curated shortlist of pre-vetted raters and domain experts matched to your RLHF program — code, medical, legal, finance, multilingual, and more.
Invite Raters to Your Annotation Tool
Hire directly and invite raters into Argilla, Label Studio, your own preference UI, or any annotation stack you operate. Customer data stays in your tools.
Run It Yourself, or Have OpenTrain Run It
Manage the program yourself on the OpenTrain marketplace, or choose the managed RLHF option — OpenTrain operates the program against your rubric, golden set, and policy as a managed service.
Start Your RLHF Data Program Today
Post a job to hire preference raters and domain experts directly, or get a quote for a managed RLHF program operated by OpenTrain.
Post Your RLHF & Preference Data Job
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フルサービス、エンドツーエンド
- 採用およびライブ審査
- オンボーディングとトレーニング
- 日次管理とQA
- 専任プログラムリード
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 RLHF Services and Preference Data
Common questions about hiring RLHF raters and running RLHF programs through OpenTrain.