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Remote Python Data Analysis Jobs in Albuquerque, NM

micro1 AI

Physics Modeling Expert - Remote

Rio Rancho, NM · Remote

$80 - $140/hr

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

Physics Modeling Expert - Remote

Albuquerque, NM · Remote

$80 - $140/hr

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · On-site +1

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Analyze data for quality/completeness * Validate data marts and dashboards against source systems

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Analyze data for quality/completeness * Validate data marts and dashboards against source systems

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As of Aug 22, 2026, the average hourly pay for remote python data analysis in Albuquerque, NM is $56.82, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.57 per hour, depending on experience, location, and employer.

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Remote Python Data Analysis jobs near you
Infographic showing various Remote Python Data Analysis job openings in Albuquerque, NM as of August 2026, with employment types broken down into 45% Full Time, 11% Part Time, 11% Temporary, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,192 per year, or $56.8 per hour.

Physics Modeling Expert - Remote

micro1 AI

Rio Rancho, NM • Remote

$80 - $140/hr

Part-time

Posted 19 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).

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