Applied Physics

Applied Physics (AI Training)

About the Role

What if your deep understanding of the physical world could directly shape how AI reasons about reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models - exposing the gaps in their understanding of quantum mechanics, electromagnetism, thermodynamics, and more.

This is a fully remote, flexible contract role. No prior AI experience needed - just mastery of physics and the ability to think rigorously about how the universe works.

• 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 and rigorous mathematical derivation across domains like quantum mechanics, electrodynamics, and statistical mechanics
• Author Ground-Truth Solutions
  - Develop precise, step-by-step "golden responses" where every constant, unit conversion, and logical step is airtight
• Audit AI Reasoning
  - Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
• Refine AI Thinking
  - Provide structured, expert feedback to improve how AI models handle boundary conditions, conservation laws, and physics-informed constraints
• Document Failure Modes
  - Systematically record how and where AI reasoning breaks down so models can be corrected and improved at a foundational level

Who You Are

• 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, notation, and the logical flow of a proof
• Self-motivated and able to work independently without hand-holding
• No prior AI or machine learning experience required

Nice to Have

• Experience with data annotation, dataset quality review, or scientific evaluation systems
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research publishing or technical writing
• Familiarity with AI tools or large language models as an end user

Why Join Us

• Work on high-impact AI projects alongside world-leading research labs
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Gain rare, first-hand exposure to how cutting-edge AI models are built and trained
• Contribute to work that ensures AI understands and respects the fundamental laws of the universe
• Potential for ongoing work and contract extension as new projects launch