About the Role
What if your years of physics expertise could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to challenge and evaluate cutting-edge Large Language Models — probing their reasoning across quantum mechanics, electromagnetism, thermodynamics, and beyond.
This is a fully remote, flexible contract role built for researchers and specialists who want high-impact work on their own schedule. No prior AI experience required — just deep domain mastery and an uncompromising eye for physical truth.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Physics Problems — Craft PhD qualifying exam-level problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of core physical principles
- Author Gold-Standard Solutions — Write precise, step-by-step "golden responses" that serve as benchmarks for AI evaluation, with flawless units, constants, and logical flow
- Audit AI Reasoning — Evaluate AI-generated solutions and proofs for physical consistency, identifying where models hallucinate physics that violates first principles
- Refine Model Behavior — Provide structured, expert feedback that helps AI systems develop physics-informed reasoning — including boundary conditions, conservation laws, and real-world constraints
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 communicate complex physical phenomena and mathematical derivations in clear, structured written English
- Meticulous attention to detail — units, scientific notation, and logical proof structure are second nature to you
- Self-directed and reliable when working independently
- No prior AI or data annotation experience required
Nice to Have
- Prior experience with data annotation, scientific dataset evaluation, or quality assurance
- Proficiency with scientific computing tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research, academia, or applied engineering environments
- Experience writing technical content, exam problems, or instructional material at the graduate level
Why Join Us
- Work alongside world-leading AI research teams on genuinely frontier problems
- Fully remote and flexible — structure your hours around your existing commitments
- Freelance autonomy with meaningful, intellectually stimulating work
- Gain direct exposure to how state-of-the-art LLMs are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch