Physics Expert

RemoteJobsOne; México; A distancia; MXN 2.492.000 - 4.985.000; Jornada completa

Descripción de la vacante

RemoteJobsOne is seeking a Physics Expert (PhD / Postdoc) for a fully remote contractor role. You will apply deep physics knowledge to train next-generation AI systems, delivering rigorous analyses and well-documented solutions.

Responsibilities include solving advanced problems, producing precise LaTeX documentation, and using Python, SymPy, and Jupyter for verification. The project spans 8–10 weeks with ~10 hours per week, fully flexible schedule.

Formación

• PhD in physics or active PhD candidate with recent research.
• Expertise in one or more listed physics subfields.
• 2–5 recent publications with arXiv/DOI records.

Responsabilidades

• Solve advanced physics problems with rigorous derivations.
• Provide technically precise, clearly written solutions using LaTeX.
• Utilize SymPy, Python, and Jupyter for verification and workflows.
• Identify subtleties in problem statements, including boundary conditions.
• Flag ambiguities and propose well-reasoned interpretations and clarifications.
• Iterate on submitted solutions in response to reviewer feedback and maintain reproducibility.

Conocimientos

Technical communication

Analytical thinking

Problem solving

Collaboration

LaTeX

Educación

PhD in Physics

Herramientas

LaTeX

SymPy

Python

Jupyter

Descripción del empleo

Pay: $100–$200/hr

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)

This is a fully remote position, open to candidates based in Mexico.

We are 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).