Physicist with Python Proficiency - AI Trainer

Key Responsibilities:

• Identify an appropriate physics simulation package and build problems whose solution hinges on that tool's core capabilities.
• Develop full Python solutions with all necessary input files, boundary conditions, and initial condition definitions.
• Run the problem against the AI model across multiple parallel attempts, adjusting difficulty until pass rate falls between 10% and 30%.

Core Requirements:

• Academic background in Physics, Theoretical, Experimental, or Computational, or equivalent field.
• At least 2 years of hands-on experience in physics research, applied work, or teaching.
• Solid Python skills applied to writing and validating computational solutions.

Nice-to-Have:

• Working knowledge of one or more domain-specific simulation tools such as FEniCS, OpenFOAM, or Meep.
• Prior exposure to how frontier AI models approach complex simulation tasks.