About the role
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: Computational Particle & Nuclear Physics Expert Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities Design graduate-level computational problems for AI to solve using real scientific software. Develop problems requiring strategic planning and multi-step workflows in Particle & Nuclear Physics . Test and refine problems against state-of-the-art AI models to achieve target difficulty. Utilize scikit-hep and other HEP Python tools for data analysis and simulations. Work independently to refine problem designs based on feedback. Collaborate asynchronously with teams to improve AI model performance . Qualifications Must-Have Graduate-level training in a relevant STEM field ( MS, PhD, or equivalent research experience ). Proven proficiency with scientific software libraries , demonstrated through research publications or professional work. Strong Python skills for writing problem setups and solution validators. Ability to work in a Linux/terminal environment with remote compute sandboxes. Available for 15–20 hours/week . Preferred Experience across multiple domains or tools. Familiarity with benchmark or evaluation design. Background in scientific teaching 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: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas