Applied Physics

About The Role

What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to challenge cutting-edge Large Language Models on their grasp of fundamental physics --- from quantum mechanics and electrodynamics to thermodynamics and classical mechanics.

This is a fully remote, flexible contract role. No prior AI experience needed --- just rigorous domain knowledge, precise analytical thinking, and the ability to spot when a model gets the physics wrong.

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

What You'll Do

• Design Advanced Problem Sets --- Craft university- and research-level physics problems requiring multi-step logical reasoning, mathematical derivation, and deep conceptual understanding --- think PhD qualifying exam difficulty
• Author Gold-Standard Solutions --- Write rigorous, step-by-step solutions that serve as ground-truth references, with exacting precision on physical constants, units, and logical flow
• Audit AI Reasoning --- Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" results that violate first principles
• Refine Model Behaviour --- Provide structured, expert feedback that helps AI systems develop physics-informed reasoning --- correctly applying constraints like conservation laws, boundary conditions, and symmetry arguments
• Document Failure Modes --- Systematically record how and where AI reasoning breaks down, contributing directly to safer and more accurate AI outputs

Who You Are

• PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related discipline
• Deep mastery across core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising attention to detail --- units, notation, and the logical integrity of a derivation all matter to you
• Self-motivated and comfortable working independently in an asynchronous environment
• No prior AI or data annotation experience required

Nice to Have

• Experience with scientific data annotation, evaluation systems, or data quality workflows
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research-level problem design or academic assessment
• Familiarity with AI tools or large language models as an end user

Why Join Us

• Work on high-impact AI projects in collaboration with leading research labs and AI teams
• Fully remote and flexible --- structure your hours around your life
• Freelance autonomy with meaningful, intellectually stimulating work
• Gain firsthand exposure to how frontier AI models are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch