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 challenge cutting-edge AI models on their grasp of physical reality — exposing gaps in reasoning, catching violations of first principles, and helping ensure that the next generation of AI systems actually respects the laws of nature.
This is a fully remote, flexible contract role built for researchers and specialists who want to apply their expertise at the frontier of AI development. 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 Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level that require multi-step logical reasoning, mathematical derivation, and deep domain knowledge across areas like quantum mechanics, electromagnetism, and thermodynamics
- Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow — the benchmark against which AI outputs are measured
- Audit AI Reasoning — Evaluate AI-generated proofs, derivations, and simulations for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or first principles
- Refine Model Behaviour — Provide structured, expert feedback that improves AI reasoning in physics-informed contexts — helping models understand constraints that no competent physicist would ever overlook
- Document Failure Modes — Systematically record how and where AI reasoning breaks down, contributing to benchmarks that push the boundaries of what AI can reliably understand about the physical world
Who You Are
- PhD-level expertise in Applied Physics, Physics, Engineering Physics, or a closely related field (completed or in final stages)
- Domain mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional analytical writing — you can explain complex physical phenomena and mathematical derivations in clear, structured prose that leaves no ambiguity
- Uncompromising precision — you catch errors in units, scientific notation, and logical flow instinctively
- Self-directed — comfortable working independently, managing your own schedule, and delivering high-quality work without hand-holding
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research publishing, academic instruction, or technical writing
- Familiarity with AI language models as a user or researcher
Why Join Us
- Work on high-impact AI projects in collaboration with leading AI research labs
- Fully remote and asynchronous — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually rigorous work
- Apply your physics expertise to one of the most consequential challenges in modern AI
- Exposure to how frontier large language models are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch