About the Role
What if your years of graduate-level physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to probe, challenge, and expose the limits of cutting-edge Large Language Models — ensuring they reason correctly about everything from quantum mechanics to thermodynamics.
This is a fully remote, flexible contract role built for researchers and academics who want high-impact work on their own schedule. No prior AI experience required — just deep domain expertise and a rigorous analytical mind.
- 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 challenges requiring multi-step logical reasoning, mathematical derivation, and first-principles thinking across topics like quantum mechanics, electromagnetism, and thermodynamics
- Author rigorous ground-truth solutions — produce step-by-step "golden responses" with flawless handling of physical constants, units, and logical proof structure
- Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate conservation laws, boundary conditions, or other fundamental principles
- Provide structured feedback — deliver clear, detailed evaluations that help improve physics-informed reasoning in AI models, covering constraints like symmetry, conservation of energy, and momentum
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 of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising attention to detail — units, scientific notation, dimensional analysis, and proof logic are second nature to you
- Self-motivated and comfortable working independently and asynchronously
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, data quality workflows, or scientific dataset evaluation
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research benchmarking or academic assessment design
Why Join Us
- Work on genuinely 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 meaningful, intellectually stimulating work
- Direct, tangible impact on how AI models understand and reason about the physical universe
- Potential for ongoing work and contract extension as new projects launch