About the Role
What if your expertise in quantum mechanics, thermodynamics, and electrodynamics 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 reasoning and helping ensure they never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and scientists who want to do meaningful, intellectually demanding work on their own schedule. No prior AI experience required — 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 Advanced Physics Problems — Develop complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and mathematical derivation across topics like quantum mechanics, electromagnetism, and thermodynamics
- Author Rigorous Solutions — Create precise, step-by-step "golden responses" with verified physical constants, correct unit conversions, and airtight reasoning that serves as the benchmark for AI evaluation
- Audit AI Reasoning — Evaluate AI-generated proofs, simulations, and explanations for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine Model Behavior — Provide structured, expert feedback that improves how AI handles physics-informed reasoning — from conservation laws to boundary conditions to dimensional analysis
- Document Failure Modes — Systematically record the ways AI models break down when confronted with research-level physics, contributing directly to model improvement
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 write clear, structured, mathematically rigorous explanations for complex physical phenomena
- Uncompromising attention to detail — units, scientific notation, logical flow, and physical consistency are second nature to you
- Self-directed and comfortable working independently in an asynchronous environment
- No prior AI or data annotation experience required
Nice to Have
- Experience with scientific data annotation, dataset curation, or evaluation systems
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research-level benchmarking or academic problem authoring
- Familiarity with AI tools or large language models as an end user
Why Join Us
- Work on high-impact AI projects in partnership with the world's leading AI research labs
- Fully remote and flexible — work when and where it suits you, on your own schedule
- Freelance autonomy with the intellectual depth of real research-level work
- Apply your PhD-level expertise in a novel, forward-looking domain
- Contribute to making AI systems that genuinely respect the laws of physics
- Potential for ongoing work and contract extension as new projects launch