Applied Physics

Applied Physics (AI Training)
About The Role
What if your deep expertise in physics could directly shape how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — probing their understanding of quantum mechanics, electromagnetism, thermodynamics, and more — and help ensure that AI reasoning never violates the fundamental laws of the universe.
This is a fully remote, flexible contract role. No prior AI experience required — just mastery of physics and a rigorous analytical mind.
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 equivalent to PhD qualifying exam level, requiring multi-step reasoning and mathematical derivation across core physics domains
Author Ground-Truth Solutions — Develop rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency, identifying where models "hallucinate" physics that violates first principles
Refine Model Thinking — Provide structured, expert feedback to improve AI performance on physics-informed reasoning, including boundary conditions, conservation laws, and symmetry constraints
Work Independently — Complete task-based assignments asynchronously, fully on your own schedule
Who You Are
PhD completed or in final stages 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 English
Uncompromising attention to detail — you catch unit errors, sign mistakes, and flawed assumptions instinctively
Self-motivated and reliable when working independently
No prior AI or machine learning experience required
Nice to Have
Experience with data annotation, dataset quality evaluation, or scientific benchmarking
Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
Background in research publication, technical writing, or academic instruction
Familiarity with AI tools or language model evaluation as an end user
Why Join Us
Work on high-impact AI projects alongside world-leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually stimulating work
Apply your PhD-level expertise in a novel, high-demand field at the frontier of AI development
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No