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Phd Python Jobs Near Me

micro1 AI

Research Consultant - Physics AI

Columbus, OH · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

Physics Modeling Expert - Remote

Columbus, OH · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

AI Training Specialist - Physics

Columbus, OH · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

Bioinformatics Software Engineer

Columbus, OH · Remote

$80 - $110/hr

... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code ...

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As of Aug 27, 2026, the average yearly pay for phd python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

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A map of the United States highlighting the number of Phd Python job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Phd Python 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

This job post has expired today. Applications are no longer accepted.

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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