Applied Physics

Applied Physics (AI Training)

About The Role

What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws that govern our universe.

This is a fully remote, flexible contract role built for working researchers and academics. No prior AI experience needed — just deep domain expertise and a rigorous analytical mind.

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

• Design Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and mathematical derivation across topics like quantum mechanics, electromagnetism, and thermodynamics
• Author Rigorous Model Solutions — Develop precise, step-by-step "golden responses" that serve as ground-truth benchmarks, with flawless handling of physical constants, units, and derivations
• Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency, identifying where models "hallucinate" results that violate first principles
• Refine Physics-Informed AI — Provide structured, expert feedback to improve how models reason about boundary conditions, conservation laws, symmetry, and physical constraints
  
  

• PhD completed or in final stages 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 ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising attention to detail — units, scientific notation, and logical proof flow matter to you
• Self-directed and comfortable working independently in a fully asynchronous environment
• No prior AI or machine learning experience required
  
  

• Experience with data annotation, dataset quality evaluation, or scientific benchmarking
• Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
• Background in academic research, teaching, or scientific writing
  
  

• Work on frontier AI projects in collaboration with leading AI research labs
• Fully remote and flexible — structure your hours around your existing commitments
• Freelance autonomy with the substance of genuinely high-impact scientific work
• Gain direct exposure to how large language models are trained and evaluated on advanced scientific reasoning
• Potential for ongoing work and contract extension as new projects launch