About the Role
What if your years of physics training could directly shape how AI understands the fundamental laws of the universe? 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 principles that govern reality: conservation of energy, electrodynamics, quantum behaviour, and more.
This is a fully remote, flexible contract role built for researchers and advanced academics. No prior AI experience needed — just a deep command of physics and the analytical rigour to match.
- 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 logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electrodynamics, and thermodynamics
- Author Gold-Standard Solutions — Write definitive, step-by-step solutions with meticulous attention to physical constants, unit conversions, and logical flow — the benchmark an AI must meet
- Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates first principles
- Refine Model Behaviour — Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
Who You Are
- 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 explain complex physical phenomena and mathematical reasoning in clear, structured prose
- Uncompromising precision with units, scientific notation, dimensional analysis, and proof structure
- Self-directed and reliable when working independently on technical tasks
- No prior AI or machine learning experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with computational tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in research, academia, or applied physics industries
- Familiarity with AI language models as an end user
Why Join Us
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and asynchronous — work on your own schedule, from anywhere
- Freelance autonomy with the substance of meaningful, intellectually rigorous work
- Apply your expertise at the frontier of AI development in a way that has real, lasting impact
- Potential for ongoing work and contract extension as new projects launch