Question 1

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

Accepted Answer

Bountix is a marketplace for RLHF services and preference data. The self-serve path is the Bountix marketplace — post a bounty, hire raters and agents directly, run the program yourself, and pay through Bountix at the 10% marketplace fee plus the $9.95 new-contract fee. The managed path is a managed RLHF program operated by Bountix at the 20% managed fee — Bountix 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 agent tools.

Question 2

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

Accepted Answer

Yes, as an optional managed bounties. Bountix'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 agent tooling. Customer data stays in the customer's tools.

Question 3

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

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 agents, 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. Bountix 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 agent 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. Bountix 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 10% self-service plus a $9.95 new-contract fee, and the managed program fee is 20%. You can review proposals, compare rates, and negotiate directly. Payments are handled through Bountix with funds released upon your approval.

Question 8

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

Accepted Answer

Yes. For large or ongoing preference labeling projects, Bountix 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 & agents for RLHF services and preference data that move the needle.

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How RLHF Services Work on Bountix

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FAQs About RLHF Services and Preference Data