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Mercor seeks an experienced security evaluator to assess the quality of vulnerability-reproduction and remediation tasks used to train frontier AI lab models. The role focuses on faithfulness of CVE reproductions, sound fixes, rigorous verification, and Docker-based lab environments that replicate exploitable conditions.
The candidate will provide rubric-based written feedback, drawing on 3+ years in application security, vulnerability research, and secure coding practices to ensure robust
Evaluate the quality, fidelity, and completeness of vulnerability-reproduction and remediation tasks used to train and evaluate a frontier AI lab's models. You'll assess whether CVE reproductions are faithful, fixes are sound, verification logic is rigorous, and Docker-based lab environments accurately recreate exploitable conditions — and provide clear, rubric-based written feedback.