About the Role
What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? 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 fundamental laws that govern our universe.
This is a fully remote, flexible contract role built for working researchers and academics. No prior AI experience needed — just deep domain expertise 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 challenging, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and mathematical derivation across topics like quantum mechanics, electromagnetism, and thermodynamics
- Author Rigorous Model Solutions — Develop precise, step-by-step "golden responses" that serve as ground-truth benchmarks, with flawless handling of physical constants, units, and derivations
- Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency, identifying where models "hallucinate" results that violate first principles
- Refine Physics-Informed AI — Provide structured, expert feedback to improve how models reason about boundary conditions, conservation laws, symmetry, and physical 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 of physics: 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 — units, scientific notation, and logical proof flow matter to you
- Self-directed and comfortable working independently in a fully asynchronous environment
- 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 MATLAB, COMSOL, Python (NumPy/SciPy), or similar
- Background in academic research, teaching, or scientific writing
Why Join Us
- Work on frontier AI projects in collaboration with leading AI research labs
- Fully remote and flexible — structure your hours around your existing commitments
- Freelance autonomy with the substance of genuinely high-impact scientific work
- Gain direct exposure to how large language models are trained and evaluated on advanced scientific reasoning
- Potential for ongoing work and contract extension as new projects launch