Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve. Domains - depth required in at least two subdomains (with a coding focus)

Mathematics — numerical linear algebra, computational mechanics, computational finance What you'll do

Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design Write scientific prompts based on the input Build the grading criteria that define a correct answer Calibrate against frontier models — a task ships only when robust models fail it more often than they succeed Required

PhD in mathematics, applied mathematics, computational mathematics,



or a closely related field Demonstrated depth in at least two of the following subdomains: numerical linear algebra, computational mechanics, computational finance Working proficiency in Python or R for scientific computing Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks Preferred

Publications in peer-reviewed journals Prior scientific software or research engineering experience Engagement

Duration: 6 weeks Commitment: part-time, 20+ hours per week Start date: immediate Process

Upload your resume and application form A 25-minute conversational interview covering your background, experience, and motivations Follow up within a few days with next steps and onboarding

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📌 Mathematics PhD - AI Evaluation Expert (Winnipeg)
🏢 Obsidian
📍 Winnipeg