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

Work arrangement
No