Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Applied Physics
Remote (Global)
$40 – $80/hr
July 14, 2026
Job description
Applied Physics — AI Data Trainer
About the Role
What if your deep expertise in physics could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to the fundamental laws that govern reality?
We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help train them to think like a physicist. Your work will directly influence how the next generation of AI handles real scientific problems — and whether it respects the laws of the universe when it does.
This is a fully remote, flexible contract role. No prior AI experience required — just a mastery of physics and a sharp analytical mind.
- 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, requiring multi-step logical reasoning and rigorous mathematical derivation across areas like quantum mechanics, electrodynamics, and thermodynamics
- Author gold-standard solutions — Write definitive, step-by-step solutions with exacting attention to physical constants, unit conversions, and logical flow
- Audit AI reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates first principles
- Refine model behaviour — Provide structured, expert feedback that helps AI develop true physics-informed reasoning, including boundary conditions, symmetry constraints, and conservation laws
Who You Are
- Hold a PhD (completed or near-completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Have mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Write with exceptional clarity — able to explain complex physical phenomena and mathematical derivations in structured, precise English
- Obsessively detail-oriented when it comes to units, scientific notation, and the logical integrity of a proof
- Self-directed and comfortable working independently on technical tasks
- No prior AI or data annotation experience required
Nice to Have
- Experience with scientific computing tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Prior work in data annotation, dataset curation, or scientific evaluation systems
- Background in research involving simulation, modelling, or experimental physics
Why Join Us
- Work on high-impact AI projects in collaboration with world-leading research labs
- Fully remote and asynchronous — work on your own schedule, wherever you are
- Freelance autonomy with meaningful, intellectually stimulating work
- Direct exposure to frontier AI development and how large language models are trained on scientific reasoning
- Potential for ongoing work and contract extension as new projects launch
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 2 regions: pick your country on click.
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