Question 1

What is the difference between RLHF services and hiring RLHF raters on OpenTrain?

Accepted Answer

OpenTrain is a marketplace for RLHF services and preference data. The self-serve path is the OpenTrain marketplace — post a job, hire raters and domain experts directly, run the program yourself, and pay through OpenTrain at the 15% marketplace fee. The managed path is a managed RLHF program operated by OpenTrain at the 20% managed fee — OpenTrain handles rater sourcing, calibration, ongoing quality, and program management against your rubric and golden set. Both paths use the same global rater pool and the same annotation tools.

Question 2

Does OpenTrain operate human-feedback programs for AI labs end to end?

Accepted Answer

Yes, as an optional managed service. OpenTrain's managed RLHF programs cover rater sourcing, vetting, calibration against your rubric, ongoing quality monitoring, and global payouts. The buyer keeps ownership of the model, the data, the rubric, and the annotation tooling. Customer data stays in the customer's tools.

Question 3

What types of preference tasks can I hire for on OpenTrain?

Accepted Answer

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.

Question 4

Can I hire domain experts, not just general raters?

Accepted Answer

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.

Question 5

How do I maintain rater consistency and quality?

Accepted Answer

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.

Question 6

What annotation tools can I hire raters into?

Accepted Answer

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.

Question 7

How does pricing work for preference labeling projects?

Accepted Answer

Pricing is set between you and the raters you hire. Rates vary based on task complexity, domain expertise required, and volume. The marketplace fee is 15% self-service, and the managed program fee is 20%. You can review proposals, compare rates, and negotiate directly. Payments are handled through OpenTrain with funds released upon your approval.

Question 8

I have a large project. Do you offer a managed service?

Accepted Answer

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.

RLHF Services: Hire Raters or Run a Managed Program

Where AI teams hire specialist raters & domain experts for RLHF services and preference data that move the needle.

Hire RLHF Raters for Any Annotation Tool

How RLHF Services Work on OpenTrain

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Invite Raters to Your Annotation Tool

Run It Yourself, or Have OpenTrain Run It

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FAQs About RLHF Services and Preference Data