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Mercor

Canada / Global

Mathematics PhD - AI Evaluation Expert

  • Part Time

Job Description

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

Engagement

Duration: 6 weeks

Commitment: part-time, 20+ hours per week

Start date: immediate

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