Applied Physics Specialist

Applied Physics Specialist (AI Training)
About The Role
What if your 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 — probing their reasoning, exposing their blind spots, and helping ensure they never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and specialists who want to contribute to something genuinely important in AI — without leaving their field behind.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design PhD-Level Problems — Craft advanced, open-ended physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of physical principles across domains like quantum mechanics, electromagnetism, and thermodynamics
Author Gold-Standard Solutions — Produce precise, step-by-step "golden responses" with flawless units, physical constants, and logical flow — the benchmark against which AI outputs are measured
Audit AI Reasoning — Evaluate AI-generated proofs, derivations, and simulations for physical consistency; identify where models "hallucinate" physics that violates first principles
Refine Model Behaviour — Provide structured, expert feedback that helps AI systems develop genuine physics-informed reasoning — respecting boundary conditions, conservation laws, and physical constraints
Who You Are
Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
Deep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured prose
Uncompromising attention to detail — units, scientific notation, and proof structure are never an afterthought
Self-directed and comfortable working independently on analytical tasks
No prior AI or machine learning experience required
Nice to Have
Experience with data annotation, scientific dataset evaluation, or quality assurance in research contexts
Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
Background in research publishing, academic benchmarking, or peer review
Why Join Us
Work on genuinely high-impact AI projects in collaboration with world-leading research labs
Fully remote and flexible — structure your hours around your existing commitments
Freelance autonomy: choose your pace, work asynchronously, and maintain full independence
Get rare, hands-on exposure to how frontier LLMs are trained and evaluated
Contribute to a mission that matters — ensuring AI respects the laws that govern the physical universe
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes