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Mercor in Paris seeks a senior researcher to design frontier AI evaluation problems for drug research. You craft realistic, defensible prompts and assemble evidence-grounded data rooms. You'll write graders, specify evaluation criteria, and oversee verification and revision cycles.
This role blends deep domain science with rigorous reasoning and high expectations for construct validity. Minimum 20 hours per week, up to 40, with in-browser studio work and Claude Code access; Claude Max
This is an evaluation framework for frontier AI models in drug research and development. Domain experts write realistic research problems wrapped around messy evidence worlds. The model works offline in a sandbox with open-source scientific tooling, receiving incomplete, indirect and sometimes misleading data, and must reach a defensible conclusion. The answer is present in the evidence but never stated.
Your job is to build a research problem so realistic and well-constructed that the model has to genuinely reason to solve it - it can't pattern-match or look the answer up.
Three things per task: the prompt, the data room, and the grading document.
You are the final authority on every scientific and difficulty question in your task.
Minimum 20 hours per week, up to 40.
Work happens in a browser-based studio plus Claude Code. A Claude Max subscription is required and is fully reimbursed.