Physics Expert (Mexico)

About the role

Handshake is looking for experienced computational and theoretical physicists to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on experience in numerical simulation, scientific computing, or your physics subfield to evaluate AI-generated content and provide feedback that helps AI reason like a practicing physicist. This is an ongoing, project-based opportunity you can take on alongside your current role.

Responsibilities

• Use your domain expertise to create expert-level physics problems and scenarios grounded in real simulation, modeling, and computational workflows
• Review and evaluate AI-generated responses for technical accuracy, numerical rigor, and alignment with how the work is actually done
• Provide structured written feedback to help improve AI model performance
• Complete tasks at your own pace with no set schedule or minimum hour requirement

Requirements

• Ideal candidates meet all three of the following:
  • Industry/research experience — first-author publications in a computational subfield or 2+ years of hands-on industry experience
  • Degree — PhD in Physics, with a computational or theoretical focus
  • Sub‑domain depth — demonstrated expertise in one of the following areas:
    • Numerical simulation, PDE/ODE solvers, and Monte Carlo methods
    • HPC and scientific computing (NumPy/SciPy, C++/Fortran)
    • A core subfield such as condensed matter, astrophysics, high‑energy physics, or fluid dynamics
• Candidates who meet at least 2 of the 3 qualifications above are also encouraged to apply.
• Additional qualifications (not required, but strengthen your application):
  • Proficiency running large‑scale simulations on HPC clusters across multiple scientific computing environments
  • Experience with lattice methods or other specialized techniques within your subfield
• Required for all applicants:
  • Must have Mexican work authorization
  • Strong written communication and attention to detail
  • Ability to explain complex physics concepts clearly
  • Ability to work independently in a remote, asynchronous environment