Physics Expert - High Energy and Mathematical Physics

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect expert contributors with opportunities to help shape advanced AI systems, build a professional profile, and grow their work in this fast-moving field.

• Remote contractor opportunity
• Part-time schedule of less than 20 hours per week
• Create a free OpenTrain account and apply in minutes

About AI Training Work

AI training is the human side of building artificial intelligence. Expert contributors review, compare, write, and evaluate material so AI models can learn from accurate, nuanced, and well-reasoned examples.

In this role, your physics expertise will support high-quality model evaluation by testing technical reasoning, identifying assumptions, and documenting where conclusions are robust, limited, or unresolved.

• Work remotely with flexible hours
• Apply advanced subject-matter expertise to cutting-edge AI development
• Help improve the quality and reliability of AI-generated physics reasoning

The Role

OpenTrain is seeking a Physics Expert specializing in high energy and mathematical physics to provide senior domain guidance for AI training work. You will adjudicate contested physics arguments, compare competing solutions, identify assumptions and approximation limits, and write defensible evaluations for review by senior physicists.

The work may also involve checking technical claims with LaTeX, SymPy, Python, and Jupyter when useful. You will be expected to communicate carefully when a question remains unresolved in the field.

• Contractor position
• Part-time: less than 20 hours per week
• Pay range: $80–$160 USD per hour
• English-language work
• Worldwide remote opportunity

What You'll Do

You will assess sophisticated physics content and produce clear, rigorous judgments that distinguish stronger solutions from weaker ones under defined assumptions and physical regimes.

• Render expert judgment on competing physics arguments, solutions, and interpretations within your subfield.
• Compare alternative approaches and explain which is stronger under specific assumptions and regimes.
• Evaluate the robustness, validity, and breaking points of approximations in technical physics work.
• Produce clear, rigorous written assessments for review by senior physicists.
• Use LaTeX, SymPy, Python, and Jupyter to verify or contrast claims where helpful.
• Communicate uncertainty carefully when questions remain open in the field.

Required Qualifications

This is an expert-level opportunity for an established physics researcher with demonstrated scholarly impact and substantial research leadership experience.

• PhD in physics with demonstrated expertise and scholarly impact in the target subfield.
• Current or former associate professor, full professor, chair professor, or principal investigator-level experience, or equivalent research leadership.
• Ongoing research activity in areas such as AdS/CFT, onshell gravitational action, Weyl-Ffeerman-Graham gauge, or tensor algebra of boundary curvature invariants.
• Three to five recent representative publications in the relevant subfield, with arXiv or DOI references.
• Experience supervising PhD students or postdocs, or comparable leadership in research settings.
• Strong written communication skills.
• Working proficiency with LaTeX, SymPy, Python, and Jupyter.

Who Should Apply

Apply if you bring deep, current or recent research expertise in high energy or mathematical physics and can explain complex technical judgments with precision. The role is particularly suited to researchers who have evaluated competing approaches, assessed approximation limits, and led or supervised advanced research.

• Senior physics researchers and research leaders
• Experts with relevant recent publications and arXiv or DOI references
• Researchers comfortable writing rigorous technical evaluations
• Candidates able to work independently in a flexible, remote setting