Applied Physics
Applied Physics (AI Training)
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 COMSOLBackground 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