What is RLHF work, and how do you get paid to do it
· 2 min read · work types, evaluation
RLHF stands for reinforcement learning from human feedback. In practice it means reading two or more answers a model produced, ranking them against a written standard, and explaining your reasoning in writing. The written reason is the valuable part, because it is what teaches the model, not the ranking alone.
The short version
- RLHF work means ranking model outputs and justifying the ranking in writing.
- The written rationale matters more than the ranking itself.
- Rankings are made against a rubric frozen before the batch begins.
- Genuine disagreement between annotators is recorded, not smoothed away.
- Strong written reasoning in your working language is the main skill required.
What does the work look like day to day?
You are shown a prompt and two or more responses a model produced. You decide which is better and you write why. Sometimes you rank a longer list. Sometimes you score a single response against several named criteria rather than comparing.
It is reading and writing work. It suits people who are precise about language and comfortable explaining a judgement rather than just making one.
Why does the written reason matter more than the ranking?
Because a ranking on its own is almost useless. If ten people prefer answer B, that tells a model very little. If ten people prefer answer B because it refused to speculate about a medical dose, that is a lesson.
This is also why RLHF work pays above plain labelling. It cannot be done quickly or absent-mindedly, and a rationale that just restates the ranking is rejected.
What happens when annotators disagree?
On well-run alignment work, disagreement is recorded rather than resolved by majority. If half of qualified annotators think a response is acceptable and half do not, that split is itself the finding, and flattening it into a single label destroys the most useful information in the batch.
Genuine splits go to adjudication with the trail preserved. What you should never be is penalised for a minority position you argued properly.
People also ask
What does RLHF stand for?
Reinforcement learning from human feedback. It is the process of improving a model using human judgements about which of its outputs are better.
What skills do you need for RLHF work?
Careful reading and clear written reasoning in your working language. You need to be able to explain why one answer is better than another in a way another person could check, rather than just picking one.
Does RLHF work pay more than annotation?
Generally yes, because it cannot be done at speed and the written rationale is a real piece of work. Exact rates depend on the domain, the language and the client, and are shown before you reserve.