Applied Physics

Applied Physics — AI Data Trainer About The Role What if your deep expertise in physics could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to the fundamental laws that govern reality?

We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help train them to think like a physicist. Your work will directly influence how the next generation of AI handles real scientific problems — and whether it respects the laws of the universe when it does.

This is a fully remote, flexible contract role. No prior AI experience required — just a mastery of physics and a sharp 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, requiring multi-step logical reasoning and rigorous mathematical derivation across areas like quantum mechanics, electrodynamics, and thermodynamics
• Author gold-standard solutions — Write definitive, step-by-step solutions with exacting attention to physical constants, unit conversions, and logical flow
• Audit AI reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates first principles
• Refine model behaviour — Provide structured, expert feedback that helps AI develop true physics-informed reasoning, including boundary conditions, symmetry constraints, and conservation laws

Who You Are

• Hold a PhD (completed or near-completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Have mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Write with exceptional clarity — able to explain complex physical phenomena and mathematical derivations in structured, precise English
• Obsessively detail-oriented when it comes to units, scientific notation, and the logical integrity of a proof
• Self-directed and comfortable working independently on technical tasks
• No prior AI or data annotation experience required

Nice to Have

• Experience with scientific computing tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Prior work in data annotation, dataset curation, or scientific evaluation systems
• Background in research involving simulation, modelling, or experimental physics

Why Join Us

• Work on high-impact AI projects in collaboration with world-leading research labs
• Fully remote and asynchronous — work on your own schedule, wherever you are
• Freelance autonomy with meaningful, intellectually stimulating work
• Direct exposure to frontier AI development and how large language models are trained on scientific reasoning
• Potential for ongoing work and contract extension as new projects launch