Particle Physics Computational Problem Designer - AI Trainer

• 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.

Do you have experience in Technical Proficiency?, Must-Have

• Graduate-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.

Preferred

• Experience 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.

3.93.9 out of 5 stars Chicago, IL Remote $70 - $100 an hour - Part-time

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.