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LLM & Agent Solutions / RLHF & Preference Data

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.
OpenTrain RLHF and Preference Data project dashboard showing $1,400 pending approval and $12,400 approved payouts with three hired AI trainers covering English multi-turn chat, French instruction following, and Korean summarization.
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
All-In-One

One Place to Hire and Manage Your Preference Labeling Team

Everything you need to build a team that delivers consistent preference data for RLHF, DPO, reward modeling, and LLM alignment.

The #1 Network for Preference Raters

Generalist raters for scale, domain experts for code, medical, legal, and finance, and QA leads for calibration. Find the right people for any preference task.
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Three shortlisted RLHF and Preference Data experts on OpenTrain showing English, Spanish, and Korean language specializations with hourly rates and availability status.

Work Happens in Your Tooling

Raters work inside your annotation platform, evaluation stack, or internal preference UI. You control access and permissions. Your data never leaves your systems.
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OpenTrain RLHF and Preference Data workspace showing Argilla and custom tool integrations with shortlisted freelancers ready to invite for English and Spanish preference annotation tasks.

Communication and Project Hub

Built-in chat, instruction editor, and everything you need to coordinate preference labeling across distributed teams. Share guidelines, resolve disagreements, and run calibration sessions in one place.
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OpenTrain project hub for RLHF and Preference Data showing collaborative project instructions editor and team chat channel with 55 members.

Secure Global Payments and Transparent Pricing

Pay AI Trainers in any country from a single dashboard. You set the rates, we add a small fixed fee on top. No hidden costs, no chasing invoices.
Post an RLHF Job
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OpenTrain escrow payment interface showing 480 Preference Comparison Units at $0.85/unit with 75% escrow funded and Stripe release button for $408.00.
OpenTrain job posting interface for RLHF and Preference Data showing job form, Label Studio, Argilla, and custom tool options, and button to invite all preference data experts.
Why OpenTrain

Hire Preference Raters for Every Task Format

Post a job and get a shortlist of qualified raters ready to start labeling. Hire for:
Pairwise ranking and best-of-N selection across model outputs
Multi-criteria scoring for helpfulness, correctness, safety, and tone
Response rewrites that match your target style and policy
Failure tagging to identify hallucinations, refusals, and missed instructions
Domain-specific evaluation in code, medical, legal, finance, and more
How It Works

How OpenTrain Works for RLHF & Preference Data

Create your account, post a job, and let our experts run inside your tools so you hit quality targets fast.
01
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.
02
Hire and Add to Your Tools
Review candidates, make your hires, and invite them to your annotation platform, evaluation stack, or internal preference UI.
03
Communicate and Pay in One Place
Share rubrics and guidelines, message your team, and handle global payments from a single dashboard.

Post Your RLHF Job Now

Create an account and post your first job in minutes.
Post a Preference Data Job

Large Project? We Can Help.

Get a dedicated team managed end-to-end for complex preference labeling projects.
Get a Managed Service Quote
Get Started

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.
OpenTrain RLHF and Preference Data workspace showing 83 hired AI trainers, 24 projects completed, and 3 shortlisted AI trainers with Label Studio, Argilla, and custom tool integrations.
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Metrics

Where AI Teams Hire Preference Raters at Scale

The largest network of preference labeling specialists, ready to work in any annotation tool or internal workflow.
100K+
pre-vetted AI training specialists
50+
domains and specializations
24 hrs
avg. time from job post to production start
FAQ

FAQs about Hiring for RLHF and Preference Data

Quick answers to common questions about preference labeling on OpenTrain.

You can hire for pairwise ranking, best-of-N selection, multi-criteria scoring (helpfulness, correctness, safety, tone), response rewrites, failure tagging, and more. Whether you need raters to compare model outputs, score against a rubric, or produce gold-standard demonstrations, you can find experienced specialists in our network.

Yes. Many preference tasks require subject matter expertise to evaluate correctness and nuance. You can hire domain specialists in code, medical, legal, finance, STEM, and other fields. They work alongside generalist raters or on high-stakes slices where domain knowledge matters most.

You define the rubric and calibration process. OpenTrain gives you the tools to share guidelines, run calibration sessions, and communicate with your team. You can also hire QA leads or adjudicators to resolve disagreements, maintain gold tasks, and monitor quality over time.

Raters work directly in your stack. This includes Argilla, Label Studio, or your own internal preference UI. OpenTrain is tool-agnostic, so you invite hires to your platform and maintain full control over access, data, and security.

Pricing is set between you and the raters you hire. Rates vary based on task complexity, domain expertise required, and volume. You can review proposals, compare rates, and negotiate directly. Payments are handled through OpenTrain with funds released upon your approval.

Yes. For large or ongoing preference labeling projects, OpenTrain can handle recruiting, onboarding, calibration, quality management, and delivery end-to-end. You get a dedicated team working inside your tools without the operational overhead.

Integrations

Hire for Any Annotation Tool or Preference UI

Hire raters on OpenTrain, then invite them to any labeling platform, evaluation stack, or your own internal tooling.
Get Started

Join the #1 Platform for AI Training Talent

Where top AI builders and expert AI Trainers connect to build the future of AI.
Self-Service
Post a Job
Post your project and get a shortlist of qualified AI Trainers and Data Labelers. Hire and manage your team in the tools you already use.
Managed Service
For Large Projects
Done-for-You
We recruit, onboard, and manage a dedicated team inside your tools. End-to-end operations for large or complex projects.
For Freelancers
Join as an AI Trainer
Find AI training and data labeling projects across platforms, all in one place. One profile, one application process, more opportunities.