mercor

Nuclear Physics Specialist - Fully Remote | Upto $100/hr

France · REMOTE · FREELANCE
Publiée le 10 septembre 2026 · Candidature traitée sur le site de l’entreprise
Computational-PhysicsNuclear-PhysicsParticle-PhysicsAI-Evaluation-SpecialistScientific-ComputingResearch-ScienceNuclear-Physics-AI-SpecialistFreelance-Physics-SpecialistReactor-Physics-EngineerFreelance-Physics-ExpertPhysics-Research-SpecialistPhysics-Freelancer

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 challenging computational problems to evaluate AI capabilities in Particle & Nuclear Physics . • Develop problems requiring the use of scikit-hep and related HEP Python tools for data analysis and computations. • Test and refine problems against state-of-the-art AI models to achieve target difficulty. • Work independently to improve problem designs based on feedback and testing results. • Collaborate asynchronously to ensure problem relevance and complexity. Qualifications Must-Have • Graduate-level training in a relevant STEM field ( MS, PhD , or equivalent research experience). • Proven proficiency with at least one listed scientific software library through research publications, open-source contributions, or professional work. • Strong Python skills for writing problem setups, oracle functions, and solution validators. • Ability to work independently and refine problem designs based on 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 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

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