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 (Ontario)
🏢 Obsidian
📍 Ontario