Material Science PhD Coding Experts (Train AI Models Part Time!)

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** 1. Upload your resume and application form 2. A 25-minute conversational interview covering your background, experience, and motivations 3. 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.