About the Role
What if your years of physics expertise 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 itself.
This is a fully remote, flexible contract role designed for deep subject-matter experts. No prior AI experience needed — just a mastery of physics and a sharp, rigorous mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design challenging problems — Craft advanced, open-ended physics problems at PhD qualifying exam level, requiring multi-step reasoning, mathematical derivation, and first-principles thinking
- Author gold-standard solutions — Write rigorous, step-by-step responses that serve as ground-truth benchmarks, with flawless attention to physical constants, units, and logical flow
- Audit AI reasoning — Evaluate AI-generated solutions and simulations for physical consistency, identifying where models "hallucinate" results that violate conservation laws, boundary conditions, or established theory
- Provide structured feedback — Help improve AI reasoning across domains like quantum mechanics, electrodynamics, thermodynamics, and classical mechanics by documenting failure modes and suggesting corrective guidance
Who You Are
- PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery across core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional analytical writing skills — you can explain complex derivations and phenomena with clarity and precision
- Uncompromising attention to detail when it comes to units, notation, and the logical structure of a proof
- Self-motivated and reliable when working independently on technical tasks
- No prior AI or machine learning experience required
Nice to Have
- Prior experience with data annotation, scientific dataset evaluation, or quality review workflows
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research, academic publishing, or physics education
Why Join Us
- Work on high-impact AI projects in collaboration with leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you, on your own schedule
- Freelance autonomy with meaningful, intellectually stimulating work
- Gain direct exposure to how frontier AI models are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch