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)
• Chemistry — quantum chemistry, computational chemistry
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 chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field
• Demonstrated depth in both of the following subdomains: quantum chemistry and computational chemistry
• 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
Apply today and put your research expertise to work building the next generation of scientific AI.