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Freelance Ai Math Training Jobs Near Me

Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms. * Detect errors, unjustified steps, missing assumptions ...

AI Architect

Westerville, OH

$60.75 - $80/hr

... training or fine-tuning, and feedback loop. * Evaluate Large Language Models and systems for ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

... training or fine-tuning, and feedback loop. * Evaluate Large Language Models and systems for ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ...

Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ... and training; licensure and certifications; and other business and organizational needs. The ...

Advanced math skills. Ability to calculate difficult figures such as percentages, fractions, and ... Applicant AI Use Disclosure We value human interaction to understand each candidate's unique ...

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How much do freelance ai math training jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for freelance ai math training in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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A map of the United States highlighting the number of Freelance Ai Math Training job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Freelance Ai Math Training job openings in each state, with California having the most at 2 and Alaska the least at 0.

AI Training Specialist - Physics

micro1 AI

Columbus, OH • On-site, Remote

$80 - $150/hr

Part-time

Posted 12 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.