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Remote Ai Math Trainer Jobs in Ashburn, VA (NOW HIRING)

Mercor

ChatGPT Specialist - AI Trainer

Washington, DC · Remote

$100/hr

Remote Role Responsibilities * Complete a short consent form via DocuSign to authorize access to ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... our AI applications team. This is a fully remote position for candidates in the continental U.S ... We are committed to providing you with the necessary tools and training to produce world-class ...

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As of Aug 17, 2026, the average hourly pay for remote ai math trainer in Ashburn, VA is $25.30, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $27.02 per hour, depending on experience, location, and employer.

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Physics Modeling Expert - Remote

micro1 AI

Washington, DC • Remote

$80 - $140/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

Apply