About the Role
What if your PhD-level expertise in physics could directly shape how AI understands the physical world? We're looking for Applied Physics Specialists to rigorously challenge large language models — exposing gaps in their reasoning, catching violations of fundamental physical laws, and helping build AI that truly understands how the universe works.
This is a fully remote, flexible contract role designed for practicing physicists and advanced PhD candidates who want to apply their expertise to one of the most consequential problems in modern AI.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design PhD-Level Problems: Craft advanced, open-ended physics problems — equivalent in depth and rigor to qualifying exam questions — that require multi-step logical reasoning and complex mathematical derivation
- Author Gold-Standard Solutions: Write meticulous, step-by-step solutions that serve as ground-truth references, with flawless handling of physical constants, units, and derivation logic
- 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 models handle physics-informed reasoning, including boundary conditions, conservation laws, and dimensional analysis
- Work Across Core Domains: Apply your knowledge across quantum mechanics, electrodynamics, classical mechanics, thermodynamics, and statistical mechanics
Who You Are
- Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep, working mastery of the four pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional analytical writing skills — able to explain complex phenomena and derivations in clear, structured English
- Uncompromising attention to detail when it comes to units, notation, dimensional consistency, and logical flow
- Self-directed and comfortable working independently on complex, open-ended tasks
- No prior AI experience required — your physics expertise is what matters
Nice to Have
- Prior experience with data annotation, scientific dataset evaluation, or quality assurance for technical content
- Proficiency with tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational physics environments
- Research background involving simulation, modeling, or applied theoretical work
Why Join Us
- Work on high-impact AI projects in collaboration with leading AI research labs
- Fully remote and asynchronous — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Direct exposure to how frontier LLMs are trained and evaluated
- Contribute to ensuring AI systems respect the fundamental laws of the physical world
- Potential for ongoing work and contract extension as new projects launch