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.
Remote Material Science PhD Coding Experts - AI Trainer ($70-$70 per hour) • Kannapolis, North Carolina, US
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