Particle Physics Computational Problem Designer
About The JobMercor 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 - Particle & Nuclear PhysicsType: ContractCompensation: $70–$100/hourLocation: RemoteCommitment: 15–20 hours/weekRole ResponsibilitiesDesign graduate-level computational problems using domain-specific scientific software libraries.Develop problems that test AI systems' ability to solve research-grade challenges.Calibrate problems against frontier AI models and iterate until difficulty is optimal.Evaluate complex scientific workflows and refine problem setups for accuracy.Collaborate independently to enhance AI model performance and reasoning.Utilize scikit-hep and related HEP Python tools for data analysis and computations.QualificationsMust-HaveGraduate-level training in a relevant STEM domain (MS, PhD, or equivalent).Proficiency with scientific software libraries, evidenced by research or professional work.Strong Python programming skills for problem setups and solution validation.Ability to work independently and iterate based on feedback.Comfortable in a Linux/terminal environment with remote compute sandboxes.Available for 15–20 hours/week.PreferredExperience across multiple 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 resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.