Alignerr
Applied Physics
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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 never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and physicists who want to apply deep domain knowledge to one of the most consequential technology challenges of our time. No prior AI experience required — just rigorous scientific expertise and a sharp analytical mind.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
- Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and precise mathematical derivation across topics like quantum mechanics, electromagnetism, thermodynamics, and classical mechanics
- Author Rigorous Solutions — Develop authoritative, step-by-step “golden responses” with meticulous attention to:
- Physical constants
- Unit conversions
- Logical proof structure
- Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency, identifying where models “hallucinate” physics that violates:
- Conservation of energy
- Conservation of momentum
- Other first principles
- Refine Model Behaviour — Provide structured, expert feedback to improve an AI’s ability to reason through:
- Boundary conditions
- Conservation laws
- Physics-informed constraints
- Document Failure Modes — Systematically catalogue where and how AI reasoning breaks down, contributing to research-level benchmarks that push the frontier of AI capability
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Who You Are
Technical & Educational Requirements
- Completed or near-completed PhD in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery across the core pillars:
- Classical Mechanics
- Electrodynamics
- Statistical Mechanics
- Quantum Mechanics
Soft Skills & Attention to Detail
- Exceptional analytical writing ability — can translate complex derivations and physical phenomena into clear, structured, and precise English
- Uncompromising attention to detail regarding:
- Units and scientific notation
- Dimensional analysis
- Logical proof flow
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Work Style
- Self-motivated and reliable when working independently and asynchronously
Nice to Have
- Experience with:
- Data annotation
- Scientific dataset evaluation
- Quality assurance systems
- Proficiency with computational tools such as Python (NumPy, SciPy), MATLAB, or COMSOL
- Background in:
- Research-level benchmarking
- Academic peer review
- Familiarity with AI/ML concepts or large language model behaviour
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with meaningful, high-impact scientific work
- Apply your PhD-level expertise to problems that matter at a global scale
- Potential for ongoing work and contract extension as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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