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)
- Materials science — semiconductor materials, molecular modeling
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 materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field
- Demonstrated depth in both of the following subdomains: semiconductor materials and molecular modeling
- Working proficiency in Python, R, or another relevant programming language 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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