Get your free practice interview for this role
micro1 screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:
Here’s your practice interview
Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.
Step 2: when you feel ready, apply.
The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our free micro1 interview guide.
Apply for this role
You apply on micro1's own site. It’s free, and you can apply even if you skip the practice.
Who this role suits
Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.
Full 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
- Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
- Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
- Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
- Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
- Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
- Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
- Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.
Preferred Qualifications
- 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).
- Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
- Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
- Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
- Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
- Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
- Reliable access to high-speed internet and a computer suitable for rigorous technical work.
Last checked open on Oct 28, 2026. Job description provided by micro1.
Something not working? Tell us
If the practice interview or the apply link doesn’t open, or the job looks closed, let us know and we’ll fix it.
Thanks, we got it. We’ll check this job’s links and reply by email if you left one.