Experience: 5+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Physics mastery, Expert judgment in ambiguous cases, Meta-level reasoning, Research leadership, Defensible written articulation
Job Summary:
We are engaging Physics Experts, established Professors or Principal Investigators, to provide high-level domain guidance as part of an impactful project for are team. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters.
Scope of Work:
- Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
- Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
- Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
- Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
- Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
- Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
- Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.
Preferred Qualifications:
- PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
- Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
- Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
- 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
- Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
- Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
- Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.