About the Role
What if your deep expertise in physics could directly influence how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their physical reasoning and helping shape the next generation of scientifically grounded AI.
This is a fully remote, flexible contract role. No prior AI experience needed — just a mastery of physics and an uncompromising eye for scientific rigor.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Problems: Craft PhD-level, open-ended physics problems requiring multi-step logical reasoning and rigorous mathematical derivation — think qualifying exam difficulty and beyond
- Author Ground-Truth Solutions: Write precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
- Audit AI Reasoning: Evaluate AI-generated simulations and proofs for physical consistency — pinpointing exactly where models hallucinate physics that violates first principles
- Refine Model Behavior: Provide structured, expert feedback to improve physics-informed reasoning across topics like boundary conditions, conservation laws, and symmetry principles
- Document Failure Modes: Build a rigorous record of how and where AI reasoning breaks down — from quantum mechanics to thermodynamics
Who You Are
- Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep command of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising precision with units, scientific notation, and the logical integrity of a proof
- Self-motivated and reliable when working independently on technical tasks
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar tools
- Background in research spanning multiple subfields of physics
- Familiarity with AI tools or language model behavior as an end user
Why Join Us
- Work on high-impact AI projects in direct collaboration with leading AI research labs
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance autonomy with the structure of meaningful, technically rigorous work
- Gain firsthand exposure to how state-of-the-art LLMs are trained and evaluated
- Contribute to ensuring that AI systems genuinely respect the laws of physics
- Potential for ongoing work and contract extension as new projects launch