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Applied Physics
Applied Physics — AI Data Trainer
About The Role
What if your years of physics training could directly shape how AI understands the physical world—from quantum mechanics to thermodynamics to the fundamental laws governing everything around us?
We’re looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose gaps in their physical reasoning, and help build systems that truly respect the laws of the universe. This is high-impact, intellectually demanding work—fully remote, with flexible hours you control.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Design advanced physics problems—craft rigorous, open-ended problems at the level of PhD qualifying exams, requiring:
- Multi-step mathematical derivation
- Deep conceptual reasoning across:
- Quantum mechanics
- Electrodynamics
- Classical mechanics
- Thermodynamics
- Author ground-truth solutions—produce precise, step-by-step "golden responses" with:
- Flawless physical constants
- Correct unit conversions
- Perfect logical flow (benchmark for AI)
- Audit AI reasoning—evaluate AI-generated simulations, derivations, and proofs for physical consistency, identifying:
- Where models hallucinate physics
- Violation of first principles
- Refine model behaviour—deliver structured, expert feedback to improve AI reasoning around:
- Boundary conditions
- Conservation laws
- Physics-informed constraints
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Who You Are
Must-Have Qualifications
- PhD completed or in final stages in:
- Applied Physics
- Physics
- Engineering Physics
- Closely related field
- Deep mastery of:
- Classical Mechanics
- Electrodynamics
- Statistical Mechanics
- Quantum Mechanics
- Exceptional analytical writing skills—ability to:
- Explain complex derivations clearly, precisely, and without ambiguity
- Uncompromising attention to detail for:
- Units, notation, and logical structure
- Self-directed and comfortable with:
- Independent work
- Asynchronous collaboration
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Nice to Have
- Experience with:
- Data annotation
- Scientific dataset evaluation
- Quality assurance
- Proficiency in:
- MATLAB
- COMSOL
- Python (NumPy/SciPy)
- Similar computational tools
- Background in:
- Research benchmarking
- Academic problem design
Why Join Us
- Work on some of the most technically demanding AI projects, alongside world-leading research labs
- Fully remote & async—work when and where you do your best thinking
- Freelance autonomy:
- Choose your hours
- Set your personal pace
- Work on intellectually stimulating problems
- Make direct, meaningful impact on how AI models reason about the physical world
- Potential for ongoing work with contract extensions as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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