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 stress-test cutting-edge Large Language Models — exposing the gaps in their reasoning and helping ensure they never violate the fundamental laws that govern reality.

This is a fully remote, flexible contract role built for researchers and scientists who want to do meaningful, intellectually rigorous work on their own schedule. No prior AI experience required — just a command of physics that goes all the way down to first principles.

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

What You'll Do

• Design advanced physics problems — craft open-ended, multi-step challenges at PhD qualifying exam level, spanning quantum mechanics, electrodynamics, thermodynamics, and classical mechanics
• Author rigorous ground-truth solutions — produce step-by-step "golden responses" with exacting precision across every constant, unit, and derivation
• Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate first principles
• Refine model reasoning — provide structured, expert feedback that helps AI systems better handle boundary conditions, conservation laws, and physics-informed constraints
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional analytical writing skills — you can explain complex derivations clearly and precisely in structured English
• Uncompromising attention to detail when it comes to units, scientific notation, and logical proof structure
• Self-motivated and reliable when working independently
• No prior AI or data annotation experience required

Nice to Have

• Prior experience with data annotation, dataset evaluation, or scientific quality assurance
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research-level benchmarking or academic problem design
• Familiarity with AI or LLM evaluation workflows

Why Join Us

• Work on cutting-edge AI projects alongside leading AI research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Apply your physics expertise to one of the most consequential challenges in modern AI
• Potential for ongoing work and contract extension as new projects launch