Remote Particle & Nuclear AI Benchmark Designer

Mercor; San Francisco (CA); On-site; USD 96,432 - 137,760; Part time

Job summary

Mercor is seeking a Particle & Nuclear Physics Expert for a remote contract role. You will design and refine AI-evaluative problems in Particle & Nuclear Physics, using scikit-hep and related Python tools for data analysis and simulations.

Applicants should have graduate-level STEM training, strong Python skills, and experience with scientific libraries. The role requires independent work in Linux/terminal environments with remote compute sandboxes.

Qualifications

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
• Strong Python skills for writing problem setups and validators.
• Proficiency with at least one scientific software library; demonstrated through publications or work.

Responsibilities

• Design challenging computational problems to evaluate AI capabilities in Particle & Nuclear Physics.
• Develop problems requiring skilled use of scikit-hep and related HEP Python tools for data analysis and simulations.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Collaborate on problem-solving strategies that involve strategic planning and efficient data interpretation.
• Work independently to refine problem designs based on feedback and testing outcomes.
• Utilize Linux/terminal environments and remote compute sandboxes effectively.

Education

MS/PhD in a relevant STEM field

Tools

scikit-hep

Job description

Mercor is seeking a Particle & Nuclear Physics Expert for a remote contract role. You will design and refine AI-evaluative problems in Particle & Nuclear Physics, using scikit-hep and related Python tools for data analysis and simulations.

Applicants should have graduate-level STEM training, strong Python skills, and experience with scientific libraries. The role requires independent work in Linux/terminal environments with remote compute sandboxes.