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Confidential

Physics Postdoctoral Researcher or Junior Professor for AI Training

Warren, NJ

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Job description

Physics Expert (Postdoc / Junior Professor)

Remote contractor role focused on candidates in the United States, Canada, and the United Kingdom. Compensation is $80 to $150 per hour.

Apply advanced physics expertise to a high-impact project supporting a customer in the science and technology sector. In this role, you will help train next-generation AI systems by shaping how models learn, reason, and perform through high-quality, real-world scientific input. No prior AI experience is required; domain knowledge is what matters.

Required Skills

Physics mastery.

Written technical communication.

Critical evaluation and error detection.

Calibrated technical judgment.

Verification and cross-checking fluency.

Scope of Work

Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI systems.

Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.

Articulate and document the reasoning behind identified flaws, ensuring actionable guidance for improvement.

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.

Use LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.

Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.

Preferred Qualifications

PhD in physics and an active record of independent research within a specialized subfield, such as High Energy or Mathematical Physics, Biophysics or Statistical Physics, Condensed Matter, AMO or Quantum Optics, Gravitation or Cosmology, Quantum Information, or Optical Materials.

Experience as a postdoctoral researcher, research fellow, junior or assistant professor, or senior research scientist.

Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.

Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.

Demonstrated skill in reviewing the work of others through peer review, supervision, dissertation committees, or group seminars.

Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.

Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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