Applied Physics

Applied Physics — AI Data Trainer

About The Role

What if your deep expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws of the universe.

This is a fully remote, flexible contract role built for researchers and academics who want high-impact work on their own schedule. No prior AI experience required — your physics expertise is what matters.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step reasoning and rigorous mathematical derivation across topics like quantum mechanics, electromagnetism, classical mechanics, and thermodynamics
• Author Gold-Standard Solutions — Write meticulous, step-by-step solutions that serve as ground-truth benchmarks, with flawless handling of physical constants, units, and logical proof structure
• Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify precisely where models "hallucinate" physics that violates first principles
• Refine Model Behavior — Provide structured, expert feedback to improve AI reasoning around constraints such as conservation laws, boundary conditions, and symmetry principles

Who You Are

• Hold a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising attention to detail — units, scientific notation, and proof logic are second nature to you
• Self-motivated and reliable when working independently
• No prior AI or machine learning experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
• Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
• Background in research publishing, technical writing, or academic instruction

Why Join Us

• Work on frontier AI projects alongside world-leading research labs
• Fully remote and async — work when and where it suits you
• Freelance autonomy with the structure of meaningful, well-defined tasks
• Apply your research expertise to one of the most consequential technology challenges of our time
• Potential for ongoing work and contract extension as new projects launch