About the Role
What if your expertise 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 the reasoning of cutting-edge Large Language Models — exposing where they break the laws of physics and helping build AI that actually gets the universe right.
This is a fully remote, flexible contract role built for researchers and domain experts. No prior AI experience needed — just deep command of physics and a rigorous, analytical mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Physics Problems — Craft open-ended, multi-step problems at PhD qualifying exam level, spanning quantum mechanics, electromagnetism, classical mechanics, and thermodynamics
- Author Gold-Standard Solutions — Write rigorous, step-by-step solutions with airtight derivations, correct physical constants, and perfect unit conversions
- Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine Model Behaviour — Provide structured, expert feedback that helps AI systems reason correctly about boundary conditions, conservation laws, and physical constraints
- Document Failure Modes — Systematically record how and where AI reasoning breaks down so research teams can address core weaknesses
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 prose
- Uncompromising attention to detail — units, notation, and logical flow matter to you
- Self-directed and consistent when working independently on task-based assignments
- No prior AI or machine learning experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar scientific computing tools
- Background in research-level benchmarking or academic problem-setting
- Familiarity with AI tools or language model evaluation as an end user
Why Join Us
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and flexible — structure your work around your schedule
- Freelance autonomy with the substance of meaningful, intellectually demanding work
- Direct exposure to how frontier AI models are trained and evaluated
- Contribute to ensuring AI respects the fundamental laws of the physical world
- Potential for ongoing work and contract extension as new projects launch