Applied Physics

About The Role

What if your expertise in quantum mechanics, thermodynamics, and electrodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their physical reasoning and helping build AI that respects the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and academics who want to do meaningful, high-impact work on their own schedule. No prior AI experience required — just a deep command of physics and an uncompromising eye for rigour.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Problems — Craft complex, open-ended physics problems at the level of PhD qualifying exams, requiring multi-step logical reasoning and precise mathematical derivation
• Author Ground-Truth Solutions — Produce rigorous, step-by-step "golden responses" where every physical constant, unit, 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 first principles
• Refine Model Behaviour — Provide structured, expert feedback that improves the model's ability to reason within constraints like conservation laws, boundary conditions, and symmetry principles
• Cover Core Domains — Work across Classical Mechanics, Electrodynamics, Statistical Mechanics, Quantum Mechanics, and related research-level topics

Who You Are

• Holds a PhD (completed or near completion) 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 analytical writer — able to communicate complex derivations and physical phenomena in clear, structured English
• Obsessively precise with units, scientific notation, dimensional analysis, and logical proof structure
• Self-directed and reliable when working independently on technical tasks
• 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 MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools
• Background in research-level simulation, numerical methods, or experimental physics
• Familiarity with AI tools or language model evaluation as an end user

Why Join Us

• Work on cutting-edge AI projects alongside world-leading research labs
• Fully remote and flexible — structure your hours around your existing commitments
• Freelance autonomy with the satisfaction of meaningful, intellectually demanding work
• Direct impact on how AI models reason about the physical world — at the frontier of AI development
• Potential for ongoing work and contract extension as new projects launch