Experience: 5+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote (Candidates from US, Canada, UK)
Required Skills: Physics mastery, Written technical communication, Critical evaluation & error detection, Calibrated technical judgment, Verification & cross-checking fluency
Job Summary:
We are engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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:
- Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
- 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 any identified flaws, ensuring actionable guidance for improvement.
- Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
- Utilize 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 (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
- Experience as a postdoctoral researcher, research fellow, junior/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.