Computational Physics Expert

What You'll Do5

• Design expert physics problems and scenarios that draw on simulation, modeling, and computational workflows from your field.
• Audit AI-generated answers for technical correctness, numerical rigor, and fidelity to how physics work happens in practice.
• Write structured critiques that flag errors, missing steps, and weak reasoning in model outputs.
• Complete tasks on your own schedule with no minimum hour requirement.
• Use subfield methods such as PDE/ODE solvers, Monte Carlo techniques, or HPC workflows to judge model responses.

Requirements10

• PhD in Physics with a computational or theoretical focus.
• First-author publications in a computational subfield or at least two years of hands-on industry research.
• Depth in one area: numerical simulation, PDE/ODE solvers, Monte Carlo methods; HPC scientific computing with NumPy/SciPy, C++, or Fortran; or a core subfield like condensed matter, astrophysics, high-energy physics, or fluid dynamics.
• Candidates who meet two of the three main qualifications may still apply.
• US work authorization.
• Strong written communication and close attention to detail.
• Ability to explain complex physics concepts in plain language.
• Ability to work on your own in a remote, asynchronous setting.
• Experience with large-scale simulations on HPC clusters across multiple scientific computing environments.
• Familiarity with lattice methods or other specialized techniques in your subfield.

Who Should Apply

The ideal candidate holds a physics PhD with a computational or theoretical focus, plus first-author work or two years in industry. Deep knowledge in numerical simulation, HPC, or a subfield such as condensed matter or astrophysics matters more than a broad list of coursework. This role suits physicists who enjoy writing clear evaluations and can work async on their own schedule. It fits less well if you need set hours, lack US work authorization, or have no computational research background. Low fit scores often come from applicants who name no subfield or numerical tools, or who skip examples of written technical feedback.

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