# RLHF and preference data

URL: https://aidataforsale.com/data/rlhf-preference-data
Publisher: AI Data For Sale (Marketing Signals Ltd)
Updated: 2026-11-10

Source human preference data, ranked responses and expert feedback for RLHF and fine-tuning, from vetted providers and domain experts.

## Summary

- Preference data records which of two or more model responses a person judged better, and why.
- Labs use it to align models through reinforcement learning from human feedback and related methods.
- Expert raters in law, medicine, finance and engineering are in short supply, which makes domain preference data the most valuable kind.
- Rater qualifications, written guidelines and agreement rates are what buyers check first.

## Specification

| Field | Detail |
| --- | --- |
| What it is | Prompts, candidate responses and human judgments: rankings, ratings, critiques and rewritten ideal answers. |
| Measured in | Comparisons or rated prompts, by domain and rater expertise. |
| Who buys | Foundation model labs and companies fine-tuning models for specialist work. |
| Where it comes from | Human data vendors, professional networks, firms with expert staff, and research groups. |
| Rights to clear | Rater contracts assigning rights in their judgments, and terms of the model that generated the responses. |
| Privacy | Low if prompts are synthetic; rater identities kept private. |
| Pricing signal | Usually priced per task or per expert hour. Expert domains cost far more than general rating. |

## How preference data is made

A rater sees a prompt and two or more responses, picks the better one, and often explains why or writes a better answer. Thousands of these judgments teach a model what people consider helpful, accurate and safe. Critiques and rewrites from real experts teach the most.

## What buyers check

- **Rater qualifications.** Verified credentials for expert domains.
- **Guidelines.** A written rubric so judgments are consistent.
- **Agreement.** How often independent raters agree; low agreement signals a vague task.
- **Freshness.** Responses from current models, since judgments on outdated outputs teach less.

## For professional firms

A law, accounting or engineering firm with spare expert capacity can supply preference data or demonstrations, usually as a services contract. Confidential client material must never be used in prompts. See [expert-annotated data](https://aidataforsale.com/data/expert-annotated-data).

## Questions

### What is RLHF?

Reinforcement learning from human feedback: training a model to produce responses people prefer, using human judgments as the signal. See the [glossary](https://aidataforsale.com/glossary/rlhf).

### Can my firm's experts supply preference data?

Yes, as a services engagement. The buyer usually supplies prompts and responses, and your experts judge or rewrite them under agreed guidelines.

## Next steps

- [Request this data](https://aidataforsale.com/request-data)
- [License data like this](https://aidataforsale.com/list-your-data)