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 never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and scientists who want to contribute to meaningful AI development without leaving their area of expertise.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Problems — Craft complex, open-ended physics problems at the level of PhD qualifying exams, requiring multi-step logical reasoning and rigorous mathematical derivation
- Author Gold-Standard Solutions — Write precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
- Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency — identifying where models "hallucinate" physics that violates first principles
- Refine Model Behaviour — Provide structured feedback that improves AI reasoning around conservation laws, boundary conditions, symmetry constraints, and other foundational physical principles
- Work Across Core Domains — Engage with problems spanning Classical Mechanics, Electrodynamics, Statistical Mechanics, Quantum Mechanics, and related fields
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 of physics — you can move fluently between classical and quantum regimes
- Exceptional at translating complex physical reasoning and mathematical derivations into clear, structured written explanations
- Uncompromising attention to detail — units, notation, and logical consistency matter to you at every step
- Self-motivated and reliable when working independently without supervision
- No prior AI or machine learning experience required
Nice to Have
- Experience with scientific data annotation, dataset quality evaluation, or benchmark development
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research-level problem design or academic curriculum development
- Familiarity with AI language models as an end user
Why Join Us
- Work on cutting-edge AI projects in collaboration with leading AI research labs
- Fully remote and flexible — structure your hours around your existing commitments
- Freelance autonomy with the substance of genuinely high-impact, technically demanding work
- Apply your deep domain expertise in a new and consequential context — shaping how AI reasons about the physical world
- Potential for ongoing work and contract extension as new projects launch