Mathematics PhD - AI Evaluation Expert - AI Trainer

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 strong 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 A 25-minute conversational interview covering your background, experience, and motivations Follow up within a few days with next steps and onboarding #J-18808-Ljbffr Mercor