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
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
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