OpenAI

Mid

Train frontier models to produce polished, correct work artifacts — docs, spreadsheets, decks, dashboards

OpenAI's Agent Post-Training team is hiring a researcher/engineer to own end-to-end post-training improvements — RL, data pipelines, graders, reward signals, evals — that teach models to turn a vague user goal into a finished artifact with strong structure, taste, and correctness. Expect deep questions on RLHF/RLAIF, eval design, and translating messy model failures into concrete experiments.