Alignerr
Applied Physics
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Applied Physics
Applied Physics (AI Training)
About The Role
What if your deep expertise in physics could directly influence how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help build systems that genuinely respect the fundamental laws of the universe.
This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics and a sharp, rigorous 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 detailed "golden response" solutions with:
- Flawless step-by-step workings
- Correct physical constants
- Precise unit handling
- 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
- Fundamental physical constraints
- Work independently and asynchronously — fully on your own schedule
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Who You Are
Requirements:
- PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery of core physics disciplines, including:
- Classical Mechanics
- Electrodynamics
- Statistical Mechanics
- Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose
- Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you
- Self-motivated and consistent when working independently
- No prior AI or data annotation experience required
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Nice to Have:
- Experience with:
- Data annotation
- Scientific dataset evaluation
- Quality assurance workflows
- Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in:
- Computational physics
- Experimental physics
- Engineering physics
- Experience writing technical documentation or academic publications
Why Join Us
- Work on high-impact AI projects alongside leading AI research labs and teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually rigorous work
- Gain firsthand exposure to how cutting-edge large language models are trained and evaluated
- Contribute to ensuring AI systems reason correctly about the physical world
- 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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