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 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