Applied Physics (AI Training)
About the Role
What if your years of physics training could directly shape 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 blind spots, and help ensure they reason in ways that actually respect the laws of the universe.
This is a fully remote, flexible contract role. No AI background needed - just deep mastery of physics and a sharp, rigorous mind.
About the Role
What if your years of physics training could directly shape 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 blind spots, and help ensure they reason in ways that actually respect the laws of the universe.
This is a fully remote, flexible contract role. No AI background needed - just deep mastery of physics and a sharp, rigorous mind.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week
- Design advanced, open-ended physics problems - think PhD qualifying exam difficulty - that require multi-step reasoning and mathematical derivation
- Author rigorous "golden response" solutions with precise step-by-step workings, correct physical constants, and flawless unit conversions
- Audit AI-generated solutions and simulations for physical consistency, identifying where models "hallucinate" results that violate first principles
- Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physical constraints
- Work independently and asynchronously - fully on your own schedule
- 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
- Exceptionally clear analytical writer - able to explain complex derivations and physical phenomena in structured, precise English
- Uncompromising attention to detail when it comes to units, scientific notation, and logical proof structure
- Self-motivated and consistent when working independently
- No prior AI experience required
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research-level benchmarking or academic problem-setting
- 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, intellectually rigorous work
- Gain hands-on exposure to how frontier AI models are built and trained
- Contribute to ensuring AI systems respect the fundamental laws of the physical world
- Potential for ongoing work and contract extension as new projects launch