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
