Definición
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.
En vacantes abiertas ahora mismo
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.
La mayoría en: Alignerr (34), SuperAnnotate (8), Turing (8), Volga Partners (6), micro1 (3), Prolific (2) y 6 más.
Audio Editing & Production Expert (Audacity)JT AI Labs·15 países
$21–70/hhace 4 días
Audio Editing & Production Expert (Audacity)micro1·Ubicación no indicada
$21–70/hhace 4 días
ATC Transcription - EnglishAlignerr·United States·Horario flexible
$20–30/hhace 6 días
Domain Expert – PythonTuring·10 países·Horario flexible
Pago no indicadohace 26 días
AWS Trainium / NKI Kernel ExpertAnyone AI·9 países·Tiempo parcial
$65/hhace 1 mes
Knowledge Expert — Human Communication & Context ElicitationVerita AI·10 países·Tiempo completo·Doctorado
$28 por tareahace 2 meses
Términos 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.Verificación de datosChecking each claim in a model's answer against reliable sources and marking what is wrong, unsupported or out of date.Clasificación por preferenciaComparing two or more model answers to the same prompt and saying which is better, often with a reason and a rating of how much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 environmentTérmino anterior, de la A a la Z. Rubric →Término siguiente, de la A a la Z. Glosario completoTodos los términos en una página, de la A a la Z.Abrir →