Physicist with Python – AI Trainer (Remote)

About the role

We are building a talent pool of physics experts with strong Python skills to design and run simulation‑based challenges for frontier AI models. You will create realistic physics problems, implement them in Python, and evaluate how well AI systems can solve them.

Key responsibilities

• Select and configure a suitable physics simulation package (e.g., PDE solvers, integrators, Monte‑Carlo kernels).
• Develop complete Python solutions, including input files, boundary conditions, and initial conditions.
• Define target numerical outputs and tolerance thresholds for AI model performance.
• Run multiple parallel evaluations, analyze success rates, and adjust difficulty to achieve a 10‑30% pass rate.
• Tune solver parameters and simulation settings iteratively.
• Submit completed tasks to a senior reviewer and incorporate feedback before final submission.

Required profile

• Academic background in physics (theoretical, experimental, or computational) or a related field.
• At least 2 years of hands‑on experience in physics research, applied work, or teaching.
• Strong Python programming ability for computational solutions.
• Proven capacity to design problems that require specialized simulation software.
• Excellent written and verbal communication in English.
• Ability to work independently in a fast‑paced remote environment.

Required skills

• Python
• FEniCS/DOLFINx
• OpenFOAM
• Meep
• MPB
• openEMS
• Geant4
• PYTHIA8
• ROOT/PyROOT
• WarpX
• REBOUND
• MESA
• CAMB
• CLASS
• Bilby
• Linux (containerized or sandboxed execution environments)

What we offer

• Competitive pay in USD.
• Fully remote work with global payment.
• Better Me Fund for personal growth.
• Community focused on social good.