Train AI in Physics Reasoning.
The models shaping the future of AI are only as rigorous as the physicists behind them. Apply your expertise where it matters- and get paid to do it.
Steve
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Work that impacts your future.
The largest language models in the world still confuse classical and quantum mechanics. You're the feedback loop that fixes this — one derivation at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short physics assessment. We evaluate your ability to reason from first principles, identify flawed derivations, and apply physical intuition. No resume required — your work speaks.
Access Projects
Based on your background and assessment results, you're matched to projects in your areas of strength. Classical mechanics, electrodynamics, quantum theory, thermodynamics — you choose what fits.
Work & Get Paid
Complete tasks on your own schedule. Each task has clear specifications and a defined scope. Payment is per-task, processed weekly, starting at $40/hour.
What you'll actually do.
Write a prompt
Craft precise physics prompts designed to probe the boundaries of model reasoning — not trivia, but problems that expose conceptual misunderstandings and faulty physical intuition.
Review AI output
Evaluate model-generated solutions line by line. Identify dimensional errors, violated conservation laws, and incorrect approximation regimes.
Evaluate physics responses from AI models for conceptual integrity, dimensional consistency, and whether the reasoning actually holds under scrutiny.
Write the correct solution
Author a complete, rigorous solution that demonstrates the correct reasoning path. This becomes training signal.
Produce rigorous, well-structured solutions that demonstrate genuine physical intuition and expose exactly where the model went wrong and why.
Where models need you most.
These are the areas where current AI systems consistently struggle. Your expertise directly addresses the hardest open problems in physics reasoning.
Classical Mechanics & Lagrangian Methods
Evaluate derivations using Newtonian, Lagrangian, and Hamiltonian formalisms. Check constraint handling, generalized coordinates, and conservation law arguments.
Quantum Mechanics & QFT
Review solutions involving Schrödinger equation, perturbation theory, path integrals, and field quantization. Verify operator algebra and Hilbert space arguments.
Electrodynamics & Optics
Assess solutions to Maxwell’s equations, boundary value problems, radiation theory, and wave propagation. Check gauge choices and retarded potential calculations.
Statistical Mechanics & Thermodynamics
Verify partition function calculations, phase transition arguments, and entropy derivations. Identify violations of thermodynamic consistency.
General Relativity & Cosmology
Evaluate tensor calculations, geodesic equations, and spacetime metric derivations. Check covariant derivative operations and Einstein field equation solutions.
Research-grade standards.
We require excellence, just as you would require in peer review. The researchers and academics on our platform aren’t here to tick boxes. They’re here because the quality standard matters to them.
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“This is evaluation by people who understand system behavior and edge cases. The focus is always on improving model reliability.”
Daniel
Research Engineer
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“Every decision is grounded in first-principles reasoning. The standards are comparable to what I’ve seen in academic and industrial research.”
Anita
Applied Scientist
“This is annotation done by people who understand models, not just labels. The quality bar is high and enforced.”
Elena
Senior ML Engineer
“The work demands subject-matter expertise. Decisions are justified, reviewed, and aligned to well-defined taxonomies.”
Stephen
Research Scientist
Paid to contributors
Expert annotators
Annotations completed
Built for people who think in proofs.
Graduate Students
PhD and Master’s candidates in theoretical or experimental physics.
Postdoctoral Researchers
Postdocs bridging theory and computation who want flexible supplemental work.
Research Physicists
Active or former researchers applying deep domain knowledge to AI training.
Applied Physicists
Engineers and scientists with rigorous physics foundations in industry.
Frequently Asked Questions
Have questions? Here we answer the most common questions.
You'll work on tasks that help AI perform better, like reviewing responses, checking accuracy, refining prompts, and rating outputs. No coding or technical background needed.
Projects vary but commonly include reviewing AI-generated text, ranking responses, checking facts, labeling data, and reviewing content in specific subject areas. All focused on improving real production AI systems.
This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact. Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is a flexible, task-based contractor role. You work remotely on your own schedule, focused on output quality rather than hours logged. There is no long-term commitment required, and you can work as much or as little as you choose.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.