About the Role
What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to put cutting-edge AI models through their paces — designing rigorous problems, exposing flawed reasoning, and helping ensure that large language models genuinely respect the fundamental laws of nature.
This is a fully remote, flexible contract role built for serious physicists who want to apply their expertise beyond the lab or classroom. No prior AI experience required — your domain mastery is what matters.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level that require multi-step logical reasoning, mathematical derivation, and deep physical intuition
- Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" with airtight physical constants, unit conversions, and logically sound proofs
- Audit AI Reasoning — Evaluate AI-generated solutions and simulations for physical consistency, identifying where models hallucinate physics that violates first principles
- Refine Model Behavior — Provide structured, expert feedback to improve AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
- Push the Limits of LLMs — Work across domains including quantum mechanics, electrodynamics, thermodynamics, and classical mechanics to expose failure modes in AI understanding
Who You Are
- Hold a PhD (completed or near-final stage) 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
- Exceptionally strong analytical writing skills — you can explain complex derivations and physical phenomena in clear, structured prose
- Uncompromising precision with units, scientific notation, and the logical flow of a rigorous proof
- Self-motivated and consistent when working independently on task-based projects
- No prior AI or machine learning experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or academic benchmark design
- Proficiency with tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research, academic publishing, or physics education
Why Join Us
- Work on genuinely cutting-edge AI projects alongside world-leading research labs
- Fully remote and asynchronous — work on your own schedule, from anywhere
- Freelance autonomy with the substance of high-impact, intellectually demanding work
- Rare opportunity to see inside how frontier AI models are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch