About the Role
What if your deep expertise in physics 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 — probing their grasp of quantum mechanics, thermodynamics, electrodynamics, and more — and documenting where their reasoning breaks down.
This is a fully remote, flexible contract role built for physicists who want to apply their expertise beyond the lab. No prior AI experience needed — 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 PhD-Level Problems — Craft advanced, open-ended physics problems requiring multi-step reasoning, mathematical derivation, and deep conceptual understanding across domains like quantum mechanics, electromagnetism, and statistical mechanics
- Author Gold-Standard Solutions — Write rigorous, step-by-step reference solutions with flawless units, constants, and logical structure that serve as benchmarks for AI evaluation
- Audit AI Reasoning — Evaluate AI-generated proofs, simulations, and derivations for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine Model Behaviour — Provide structured, expert feedback that improves how AI handles physics-informed reasoning — from boundary conditions to conservation laws
- Work Independently — Complete task-based assignments asynchronously, fully on your own schedule
Who You Are
- PhD completed or near-completion 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 analytical writer — able to explain complex derivations in clear, structured, precise English
- Uncompromising attention to detail around units, notation, dimensional analysis, and logical flow
- Self-motivated and consistent when working independently
- No prior AI experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research-level benchmarking or academic problem-setting
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Gain direct exposure to how frontier AI models are trained and evaluated
- Apply your physics expertise in a novel, intellectually stimulating context
- Potential for ongoing work and contract extension as new projects launch