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 that govern everything around us?

We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose the gaps in their physical reasoning, and help build systems that truly respect the laws of the universe. This is high-impact, intellectually demanding work — and it's 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 and deep conceptual reasoning across quantum mechanics, electrodynamics, classical mechanics, and thermodynamics
  • Author Ground-Truth Solutions —
  • Produce precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow — the benchmark that AI must meet
  • Audit AI Reasoning —
  • Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models hallucinate physics or violate first principles
  • Refine Model Behaviour —
  • Deliver structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints

Who You Are

• PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional analytical writing skills — you can explain a complex derivation clearly, precisely, and without ambiguity
• Uncompromising attention to detail when it comes to units, notation, and logical structure
• Self-directed and comfortable working independently and asynchronously
• No prior AI or machine learning experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance
• Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools
• Background in research benchmarking or academic problem design

Why Join Us

• Work on some of the most technically demanding AI projects in existence alongside world-leading research labs
• Fully remote and async — work when and where you do your best thinking
• Freelance autonomy: choose your hours, set your pace, and work on intellectually stimulating problems
• Direct, meaningful impact on how AI models reason about the physical world
• Potential for ongoing work and contract extension as new projects launch