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Remote Postdoctoral Teaching Fellow Jobs Near Me

micro1 AI

AI Training Specialist - Physics

Columbus, OH · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

micro1 AI

Senior Scientific Reviewer - Physics

Columbus, OH · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

All JobsRemote Postdoctoral Teaching Fellow JobsRemote Postdoctoral Teaching Fellow Jobs Near Me

Remote Postdoctoral Teaching Fellow information

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$25K

$59K

$83.5K

How much do remote postdoctoral teaching fellow jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote postdoctoral teaching fellow in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

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Remote Postdoctoral Teaching Fellow jobs near you
A map of the United States highlighting the number of Remote Postdoctoral Teaching Fellow job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Postdoctoral Teaching Fellow job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Columbus, OH • On-site, Remote

$80 - $150/hr

Part-time

Posted 18 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is 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

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. 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).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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