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Experience with Kubernetes (Can include distributions such as Red Hat Openshift, Amazon EKS, Google ... Ability to work as part of a team and interact effectively and appropriately with others * Ability ...

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What is the difference between Weekend Remote Amazon Work vs Weekend Remote Customer Service Associate?

AspectWeekend Remote Amazon WorkWeekend Remote Customer Service Associate
CredentialsHigh school diploma or equivalent; Amazon-specific trainingHigh school diploma or equivalent; customer service experience preferred
Work EnvironmentRemote, flexible hours, Amazon platformRemote, flexible hours, customer support platforms
Industry UsageRetail, logistics, e-commerceRetail, e-commerce, service industry
Common Search IntentJob opportunities, Amazon logistics rolesCustomer support, service roles at home

Weekend Remote Amazon Work involves tasks related to Amazon's logistics, warehouse, or fulfillment centers, often requiring specific Amazon training. In contrast, Weekend Remote Customer Service Associate roles focus on assisting customers via support platforms. Both roles are remote, part-time, and industry-related, but they differ in job functions and required skills.

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Infographic showing various Weekend Remote Amazon Work job openings in Missouri as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution.

Physics Modeling Expert - Remote

Saint Louis, MO • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$100 - $200/hr

Part-time

Re-posted 3 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)

Role Type: Contractor

Location: Remote (Worldwide)

Schedule: 10-15+ hours a week, Fully Flexible (Can accommodate working after hours/weekends)


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