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Applied Physics

Job

Alignerr

Remote

Full-Time

Posted 2 weeks ago (Updated 1 hour ago) • Actively hiring

Expires 6/14/2026

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Job Description

More Results Applied Physics Employer Alignerr Location Schiller Park, Illinois, US Salary Competitive Closing date May 3, 2026 View more categories View less categories Sector Academic / Research Field Conservation science Discipline Biology Salary Type Salary Employment Type Full time Apply on website Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Send job Job Details 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 Share this job Facebook Twitter LinkedIn Apply on website Send job Apply on website Save job Click to add the job to your shortlist You need to sign in or create an account to save a job.
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