Reviews AI-generated reinforcement learning code and model outputs for correctness. Suits engineers who have built and debugged RL systems themselves and can work flexible remote hours.
Sobre a vaga
This RL Engineer role pays $100/hour and wants hands-on experience implementing reinforcement learning algorithms like PPO, SAC, DQN, or RLHF, plus real fluency in PyTorch, JAX, or Stable-Baselines3. The evaluation work is reviewing AI-generated RL code and model outputs for correctness at a level that requires having built and debugged RL systems yourself. It's remote and flexible, one of the more technically specific STEM roles Ethos runs.
Fonte oficial: agent.askethos.com. Os detalhes podem mudar; vale o que diz a página da plataforma.Algo errado com esta vaga? Avise a gente.
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