About the Role
What if your years of physics training could directly shape how AI understands the fundamental laws of the universe? 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 conservation of energy, momentum, or any other pillar of reality.
This is a fully remote, flexible contract role. No prior AI experience needed — just deep domain mastery and a rigorous scientific mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design PhD-level physics problems — craft advanced, open-ended challenges requiring multi-step logical reasoning and mathematical derivation across quantum mechanics, electrodynamics, thermodynamics, and more
- Author rigorous ground-truth solutions — produce step-by-step "golden responses" where every physical constant, unit conversion, and derivation is airtight
- Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate first principles or boundary conditions
- Refine model reasoning — provide structured, expert feedback that trains AI to reason in a physics-informed way, respecting conservation laws and real-world constraints
- Work independently and asynchronously — fully on your own schedule
Who You Are
- PhD completed or in final stages 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
- Uncompromising attention to detail — units, scientific notation, and logical proof structure are second nature to you
- Self-motivated and precise when working independently
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with computational tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in research-level benchmarking or physics education
Why Join Us
- Work alongside world-leading AI research teams on genuinely frontier problems
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of high-impact, intellectually demanding work
- Gain rare, hands-on exposure to how advanced large language models are built and trained
- Contribute to AI systems that get physics right — work that matters at a fundamental level
- Potential for ongoing work and contract extension as new projects launch