Applied Physics Specialist - #193057

Applied Physics Specialist (AI Training)

About The Role

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

This is a fully remote, flexible contract role. No AI background needed — just deep domain expertise and the precision of a researcher who knows when something violates first principles.

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

What You'll Do

• Design PhD-level problems — Craft advanced, open-ended physics problems requiring multi-step logical reasoning, mathematical derivation, and mastery of core physical principles
• Author ground-truth solutions — Write rigorous, step-by-step "golden responses" where every constant, unit conversion, and logical step is airtight
• Audit AI reasoning — Evaluate AI-generated solutions and proofs for physical consistency, identifying where models "hallucinate" physics that violates first principles
• Refine model behaviour — Provide structured, expert feedback that improves how AI handles boundary conditions, conservation laws, and physics-informed constraints
• Work independently and 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 of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose
• Uncompromising eye for detail — units, scientific notation, and the logical flow of a proof matter to you
• Self-motivated and consistent when working independently
• No prior AI or data annotation experience required
  
  

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or academic benchmarking
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research, academia, or applied engineering environments
• Familiarity with AI tools or language model outputs as an end user
  
  

Why Join Us

• Work on high-impact AI projects alongside the world's leading AI research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually rigorous work
• Gain direct exposure to how frontier AI models are trained and evaluated
• Contribute to ensuring that the next generation of AI systems genuinely understands the physical world
• Potential for ongoing work and contract extension as new projects launch