Job Description
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: STEM Computational Scientific Software & Evaluation Design Type: Contract Compensation: $45–$100/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities Design graduate-level computational problems using domain-specific scientific software libraries. Evaluate AI models' ability to solve research-grade problems through strategic reasoning and problem-solving. Develop and refine tasks through calibration loops with state-of-the-art AI models. Collaborate asynchronously and work independently to meet deadlines and improve AI model performance. Utilize Python for problem setups, oracle functions, and solution validators in a Linux/terminal environment. Qualifications Must-Have Graduate-level training in a relevant STEM domain ( MS, PhD, or equivalent research experience ). Proficiency with at least one scientific software library, evidenced by research publications, open-source contributions, or professional work. Strong Python programming skills. Ability to work independently and iterate on problem designs based on calibration feedback. Comfortable working in a Linux/terminal environment with remote compute sandboxes. Preferred Experience across multiple listed domains or tools. Familiarity with benchmark or evaluation design. Background in scientific pedagogy or exam/problem-set design. Experience with computational reproducibility and containerized environments. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs. mercor .com/welcome For any help or support, reach out to: support@ mercor .com PS: Our team reviews applicatio
