Alignerr
Applied Physics Specialist
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Applied Physics Specialist (AI Training)
About The Role
What if your years of training 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. No AI background needed — just deep domain expertise and a rigorous scientific mind.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design advanced, open-ended physics problems at PhD qualifying exam level — requiring multi-step logical reasoning and rigorous mathematical derivation
- Author definitive "golden" solutions with precise, step-by-step workings, ensuring every physical constant, unit, and derivation is airtight
- Audit AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles
- Provide structured, expert feedback to improve AI reasoning around conservation laws, boundary conditions, and physical constraints
- Work across core physics domains including quantum mechanics, electromagnetism, thermodynamics, and classical mechanics
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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 of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured written English
- Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you
- Self-directed and reliable when working independently on task-based assignments
- No prior AI or machine learning experience required
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Nice to Have
- Prior experience with data annotation, dataset quality evaluation, or scientific benchmark development
- Proficiency with scientific computing tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in research, academic publishing, or physics education
Why Join Us
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and flexible — set your own schedule and work from anywhere
- Freelance autonomy with meaningful, intellectually stimulating work
- Directly influence how AI models reason about the physical world at a foundational level
- Potential for ongoing work and contract extension as new projects launch
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