Definição
Also called: reinforcement learning from human feedback.
A way of training a model on people's judgements. People compare or rate the model's answers; those judgements train a reward model, which is then used to train the model towards answers people prefer. Most rating and ranking work feeds into it.
Used in: AI evaluator and rater roles, and expert roles in most fields.
Nas vagas abertas agora
67 of the open roles we list mention “RLHF” or a word for it in the title or description, on 12 platforms (as of 3 November 2026). Of those that state an hourly rate (23 distinct postings), the median is $65/hr, and the middle half pay $45 to $100.
A maioria em: Alignerr (34), SuperAnnotate (8), Turing (8), Volga Partners (6), micro1 (3), Prolific (2) e mais 6.
Audio Editing & Production Expert (Audacity)JT AI Labs·15 países
$21–70/hhá 4 dias
Audio Editing & Production Expert (Audacity)micro1·Local não informado
$21–70/hhá 4 dias
ATC Transcription - EnglishAlignerr·United States·Horário flexível
$20–30/hhá 6 dias
Domain Expert – PythonTuring·10 países·Horário flexível
Pagamento não informadohá 26 dias
AWS Trainium / NKI Kernel ExpertAnyone AI·9 países·Meio período
$65/hhá 1 mês
Knowledge Expert — Human Communication & Context ElicitationVerita AI·10 países·Período integral·Doutorado
$28 por tarefahá 2 meses
Termos relacionados
EvaluationTesting what a model can do by having it answer a set of questions and scoring the answers, often by people working from a rubric.Checagem de fatosChecking each claim in a model's answer against reliable sources and marking what is wrong, unsupported or out of date.Classificação por preferênciaComparing two or more model answers to the same prompt and saying which is better, often with a reason and a rating of how much better. ← RL environmentTermo anterior, de A a Z. Rubric →Próximo termo, de A a Z. Glossário completoTodos os termos em uma página, de A a Z.Abrir →