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 cutting-edge Large Language Models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws that govern reality.
This is a fully remote, flexible contract role built for researchers and scientists who want to do intellectually rigorous work on their own schedule. No prior AI experience required — just deep domain expertise and a sharp, uncompromising mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Problems — Craft PhD qualifying exam-level physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of first principles
- Author Ground-Truth Solutions — Write definitive, step-by-step "golden responses" with flawless physical constants, unit conversions, and airtight logical flow
- Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates conservation laws or boundary conditions
- Refine Model Behaviour — Provide structured, expert feedback that helps AI systems develop genuine physics-informed reasoning across topics like quantum mechanics, electromagnetism, and statistical mechanics
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Hold a PhD (completed or near completion) 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
- Exceptionally clear and precise scientific writer — you can articulate complex derivations in structured, accessible English
- Obsessively detail-oriented when it comes to units, notation, and the logical integrity of a proof
- Self-motivated and consistent when working independently
- No prior AI or tech experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance systems
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research, academia, or applied physics industries
- Familiarity with AI tools or language model outputs as an end user
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Direct impact on how AI reasons about the physical universe — work that actually matters
- Potential for ongoing work and contract extension as new projects launch
- Collaborate with a global community of domain experts pushing the frontier of AI capability