Remote Physics Expert for AI Training & Analysis (Contract)

RemoteJobsOne; Houston (TX); Remote; USD 110,000 - 220,000; Part time

Job summary

RemoteJobsOne seeks leading physics experts to provide high-level domain guidance for AI training projects. You will adjudicate complex physics arguments, compare approaches, and articulate robust evaluation criteria. This role emphasizes rigorous written assessments and clear communication.

Applicants should hold a PhD in physics with a proven track record in research leadership and publications. Proficiency with LaTeX, SymPy, Python, and Jupyter is required, and experience supervising students

Qualifications

• PhD in physics with demonstrated expertise and scholarly impact.
• Ongoing or recent research leadership in a physics subfield.
• Proven track record of independent research and supervision experience.
• 3–5 recent publications with arXiv or DOI references.
• Proficiency with LaTeX, SymPy, Python, and Jupyter (note any gaps).
• Exceptional written communication skills and clear judgment.

Responsibilities

• Adjudicate and render expert judgment on contested physics arguments and interpretations.
• Compare alternative approaches, detailing superiority, assumptions, and regimes.
• Identify meta-level criteria for assessing robustness and validity.
• Provide calibrated confidence while acknowledging uncertainty or open questions.
• Draft defensible evaluations for senior physicists; ensure rigor and clarity.
• Leverage LaTeX, SymPy, Python, and Jupyter to verify claims.
• Communicate unresolved questions and pertinent considerations.

Skills

Domain physics expertise

Analytical thinking

Strong written communication

Education

PhD in physics

Tools

LaTeX

SymPy

Python

Jupyter

Job description

RemoteJobsOne seeks leading physics experts to provide high-level domain guidance for AI training projects. You will adjudicate complex physics arguments, compare approaches, and articulate robust evaluation criteria. This role emphasizes rigorous written assessments and clear communication.

Applicants should hold a PhD in physics with a proven track record in research leadership and publications. Proficiency with LaTeX, SymPy, Python, and Jupyter is required, and experience supervising students