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Physics PhD - Quantum Computing Expert - AI Trainer

Obsidian

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) Physics — condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics 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 physics, applied physics, or a closely related field Demonstrated depth in at least two of the following subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics 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 motivationsFollow up within a few days with next steps and onboarding #J-18808-Ljbffr Obsidian

Vacancy posted 4 days ago
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