We are sharing a specialised consulting opportunity for Physics Experts at the postdoctoral, research-fellow, junior-faculty, or senior-research-scientist level with strong expertise in theoretical or computational physics, technical review, error detection, scientific verification, and rigorous written communication.
Selected professionals will critically evaluate advanced physics solutions and derivations, identify substantive scientific errors, independently verify technical claims, and provide precise research-level feedback. The engagement is focused primarily on professionals based in the United States, Canada, and the United Kingdom. No prior experience in AI is required.
Key Responsibilities
Physics Review & Error Detection
Critically evaluate advanced physics solutions, derivations, and theoretical arguments
Identify mathematical, physical, dimensional, methodological, or logical errors
Assess whether conclusions follow from stated assumptions and applicable physical principles
Distinguish substantive scientific issues from stylistic or cosmetic differences
Apply research-level judgement across specialised physics problems
Verification & Computational Analysis
Independently reproduce or validate key calculations and technical claims
Test derivations using alternative approaches, limiting cases, or parameter regimes
Use LaTeX, SymPy, Python, Jupyter, or comparable tools for symbolic and numerical verification
Identify discrepancies between analytical and computational results
Recognise when multiple approaches are scientifically valid or additional assumptions are required
Scientific Feedback & Evaluation
Explain technical errors and weaknesses clearly and precisely
Provide concise, actionable recommendations for stronger reasoning or corrections
Review model-generated physics content for scientific accuracy and rigour
Deliver structured written assessments suitable for research-level work
Support iterative refinement while preserving valid technical reasoning
Ideal Profile
PhD in Physics
Active or recent independent research record within a specialised physics subfield
Experience as a postdoctoral researcher, research fellow, junior or assistant professor, senior research scientist, or comparable role
Expertise in areas such as high-energy physics, mathematical physics, biophysics, statistical physics, condensed matter, AMO/quantum optics, gravitation, cosmology, quantum information, or optical materials
Representative publications from approximately the last five years, with arXiv or DOI references available
Experience reviewing scientific work through peer review, supervision, dissertation committees, seminars, or comparable settings
Advanced proficiency with LaTeX
Strong working knowledge of SymPy, Python, and Jupyter
Strong ability to detect technical errors and explain them precisely
Exceptional analytical and scientific-writing skills
Reliable high-speed internet and access to a computer suitable for theoretical or computational work
No prior AI-training or model-evaluation experience is required
Engagement Details
Independent contractor engagement
Fully remote
Location focus: United States, Canada, and United Kingdom
Compensation: $80–$150/hour
Work will involve physics-solution review, derivation checking, scientific error detection, theoretical analysis, computational verification, and structured technical feedback
Assignments may involve mathematical derivations, theoretical arguments, computational checks, technical explanations, and model-generated physics content
Contributors may use LaTeX, SymPy, Python, Jupyter, or comparable tools for verification
Project scope, workload, physics subfields, and evaluation standards may evolve depending on project requirements
Work must be completed without using confidential or proprietary information belonging to any employer, research institution, laboratory, collaborator, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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