Applied Physics Specialist

Applied Physics Specialist (AI Training)

About the Role

What if your years of rigorous physics training could directly shape how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve cutting-edge Large Language Models — probing their understanding of quantum mechanics, electrodynamics, thermodynamics, and more.

This is a fully remote, flexible contract role built for researchers and academics who want to do intellectually meaningful work on their own schedule. No prior AI experience needed — your deep domain expertise is what matters.

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

What You'll Do

• Design Advanced Problems: Craft PhD-level, open-ended physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of first principles
• Author Ground-Truth Solutions: Write precise, step-by-step "golden responses" — verifying every constant, unit conversion, and logical step along the way
• Audit AI Reasoning: Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates fundamental laws
• Refine Model Behaviour: Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
• Push the Boundaries: Work on university-level and research-level benchmarks spanning quantum mechanics, classical mechanics, electromagnetism, statistical mechanics, and more

Who You Are

• PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional analytical writing ability — you can explain complex derivations and physical phenomena in clear, structured English
• Uncompromising precision when it comes to units, scientific notation, and the logical flow of a proof
• Self-motivated and consistent when working independently
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality, or evaluation workflows for scientific datasets
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research publication, academic instruction, or technical writing

Why Join Us

• Work on high-impact AI projects alongside the world's leading AI research labs
• Fully remote and flexible — structure your work around your research, teaching, or personal schedule
• Freelance autonomy with meaningful, intellectually stimulating task-based work
• Gain direct exposure to how frontier LLMs are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch