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Applied Physics

Alignerr

Applied Physics - AI Data Trainer

About the Role

What if your deep expertise in physics could directly shape how AI understands the physical world - ensuring it never violates conservation of energy, misapplies quantum mechanics, or hallucinates impossible thermodynamics?

We're looking for PhD-level Applied Physicists to stress-test and train cutting-edge Large Language Models on university and research-level physics. You'll design problems that expose the limits of AI reasoning, author rigorous solutions, and provide structured feedback that teaches models to think like a physicist.

This is a fully remote, flexible contract role. No prior AI or data annotation experience required - just a mastery of physics and an uncompromising eye for scientific rigour.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Problems
    - Craft PhD qualifying exam-level physics problems that demand multi-step logical reasoning, mathematical derivation, and deep conceptual understanding across subfields
  • Author Gold-Standard Solutions
    - Write rigorous, step-by-step "golden responses" with perfect unit conversions, physical constants, and airtight logical flow
  • Audit AI Reasoning
    - Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
  • Refine Model Behaviour
    - Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
  • Work Independently
    - Complete task-based assignments on your own schedule, fully asynchronously
Who You Are
  • Holds a PhD (completed or near completion) 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 ability to explain complex physical phenomena and mathematical derivations in clear, structured English
  • Precision-focused - you notice when units are off, when a derivation skips a step, or when a physical argument breaks down
  • Self-motivated and consistent when working independently
  • No prior AI or machine learning experience required
Nice to Have
  • Experience with scientific data annotation, data quality evaluation, or benchmark creation
  • Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
  • Background spanning multiple physics subfields or interdisciplinary research areas
  • Experience writing for technical audiences - papers, textbooks, or problem sets
Why Join Us
  • Work on high-impact AI projects in collaboration with 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, technically challenging work
  • Apply your expertise to problems that genuinely matter - helping AI reason correctly about the physical universe
  • Potential for ongoing work and contract extension as new projects launch
Vacancy posted 2 days ago
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