Applied Physics

About The Role

What if your years of rigorous physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve the reasoning of cutting-edge Large Language Models — ensuring they don't just sound smart, but actually think in ways that respect the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and academics who want to apply their expertise beyond the lab. No prior AI experience required — just deep domain knowledge 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 that demand multi-step logical reasoning, mathematical derivation, and first-principles thinking
• Author Ground-Truth Solutions — Produce rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly right
• Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates conservation laws or boundary conditions
• Refine Model Behaviour — Provide structured, expert feedback that helps AI systems develop genuinely physics-informed reasoning across topics like quantum mechanics, electrodynamics, and thermodynamics
• Work Independently — Complete task-based assignments asynchronously, fully on your own schedule

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 explain complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising attention to detail — you notice when a unit is off, a sign is wrong, or a proof skips a step
• Self-motivated and reliable when working independently
• No prior AI or machine learning 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, academic publishing, or technical writing
• Familiarity with AI tools or language model evaluation as an end user

Why Join Us

• Work on high-impact AI projects alongside world-leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually demanding work
• Apply your physics expertise in a genuinely novel and consequential domain
• Potential for ongoing work and contract extension as new projects launch