Use advanced physics expertise to evaluate AI-generated and researcher-created solutions, derivations, and theoretical arguments. This worldwide, part-time contractor role pays $80-$150 per hour and requires less than 20 hours weekly.
Generative AI & RLHF
100% Remote Hourly · $80–$150/hr
$80–$150/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 3, 2026
Posted
Open worldwide
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OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping specialists discover meaningful projects, create a professional profile, and apply for opportunities in minutes.
This is a chance to bring high-level physics expertise to the development of emerging AI systems while building experience in a fast-growing technical field.
Worldwide remote opportunity
Part-time contractor engagement
Less than 20 hours per week
English-language work
Pay range of $80-$150 USD per hour
About AI Training Work
AI training is the human side of building artificial intelligence. Specialists review examples, evaluate model reasoning, identify errors, and provide feedback that helps AI systems become more accurate, reliable, and useful.
In this project, your physics judgment will help assess sophisticated scientific reasoning. Your feedback can distinguish sound derivations from responses containing hidden assumptions, logical gaps, dimensional errors, or methodological flaws.
Contribute to the improvement of advanced AI models
Apply professional subject-matter expertise to technical review
Work remotely with a flexible part-time schedule
Participate in a growing field at the intersection of research and AI
The Role
OpenTrain AI is seeking a Physics Research Review Expert to evaluate scientific reasoning used in AI training. You will examine physics solutions, mathematical derivations, and theoretical arguments to determine whether they are correct, sufficiently justified, and methodologically sound.
The role combines advanced physics judgment with structured review of researcher- and AI-generated material across specialized research domains. You will explain identified problems clearly and provide technically rigorous feedback that supports iterative improvement.
Review physics solutions, derivations, and theoretical arguments
Assess correctness, justification, and methodological soundness
Provide structured written feedback on scientific reasoning
Work as a part-time contractor for less than 20 hours per week
What You'll Do
You will critically assess technical work and communicate your conclusions in a nuanced, constructive way. When appropriate, you will use computational tools to independently verify or counter-check scientific claims.
Detect errors, unjustified transitions, missing assumptions, dimensional inconsistencies, and weaknesses in logic
Distinguish substantive scientific problems from stylistic or cosmetic issues
Explain the reasoning behind identified flaws
Provide actionable guidance for improving submitted work and AI-generated reasoning
Recognize valid reasoning that can be clarified, sharpened, or made more efficient
Use LaTeX, SymPy, Python, and Jupyter for theoretical modeling and technical validation as appropriate
Requirements
This role is listed at the entry level for the project, but it requires advanced academic and research expertise. A PhD in physics and an active record of independent research in a specialized physics subfield are required.
You must be able to identify subtle scientific issues and communicate technically rigorous feedback. Reliable high-speed internet and a computer suitable for demanding technical work are also required.
PhD-level physics expertise
Active independent research in a specialized physics subfield
Advanced proficiency with LaTeX, SymPy, Python, and Jupyter
Ability to identify unjustified steps, missing assumptions, dimensional inconsistencies, and methodological flaws
Exceptional written communication and constructive technical feedback skills
Reliable high-speed internet and a suitable computer
Relevant Research Background
Experience evaluating physics work through peer review, supervision, dissertation committees, group seminars, or journal clubs is valuable. Postdoctoral research, research fellowship, junior or assistant professorship, senior research scientist experience, and recent representative publications are particularly relevant.
High-energy physics
Mathematical physics
Condensed matter
AMO and quantum optics
Statistical physics
Biophysics
Gravitation and cosmology
Quantum information
Optical materials
Compensation and Work Arrangement
This is a worldwide, remote contractor opportunity with part-time availability. The stated workload is less than 20 hours per week, and compensation ranges from $80 to $150 USD per hour.
Contractor position
Part-time schedule
Less than 20 hours per week
$80-$150 USD per hour
Worldwide eligibility
How to Apply Through OpenTrain
Create a free OpenTrain account to build your profile and apply for this project. OpenTrain helps experts find and grow within AI training work, including opportunities where deep scientific knowledge directly shapes how AI systems reason and perform.
Create or complete your OpenTrain profile
Highlight your physics research and technical verification experience
Showcase relevant peer review, supervision, or publication background
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