RLHF

RLHF jobs: get paid to teach AI human preferences.

RLHF — reinforcement learning from human feedback — is how AI models learn what good output looks like: people rate, rank and rewrite model responses, and the model trains on those preferences. rustLabs runs RLHF work with domain experts: practicing lawyers, clinicians, engineers and finance professionals, because labs pay for judgment, not just preferences.

What RLHF work actually is

  • Rating. Score model answers for accuracy, helpfulness and tone against your own judgment.
  • Ranking. Choose which of two answers is better — and say why in a sentence. That reason becomes training signal.
  • Rewriting. Take a model's draft and produce the expert-level version of it.
  • Preference reasoning. Write the short justifications that teach a model the difference between passable and right.

Expert RLHF vs generalist RLHF

  • Generalist platforms rate everyday chatbot answers, where the task mostly needs opinions.
  • Expert RLHF needs domain accuracy: a model's legal answer should be ranked by a lawyer, its clinical answer by a clinician. That is the work rustLabs staffs, and it is paid at each project's rate.

How it works

  • Apply at experts.rustlabs.ai — it takes a few minutes.
  • We review your background; when a matching project opens, you pick up tasks.
  • Accepted work is paid at the project's rate. Identity verification and tax forms are completed before your first payout.

No coding is required for most RLHF work. Engineers and ML researchers: the code-focused task lines are listed under software and ML. Lawyers: legal AI training work. Clinicians: medical AI training work.

Who it's for

Domain professionals first.

If you practice law, medicine, engineering, science or finance, your judgment is the scarce input. Strong generalist writers are also matched to lower-stakes task lines.

Next step

One application, all fields.

Apply at experts.rustlabs.ai