Applied Physics Specialist

Alignerr Corp.

Wellington

Remote

NZD 83,000 - 165,000

Full time

15 hours ago
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Job summary

Alignerr is seeking a PhD-level Applied Physicist to shape how AI understands physical systems. You will craft challenging physics problems and provide gold-standard solutions, while auditing model outputs for consistency and correctness.

This fully remote, flexible hourly contract offers 10–40 hours per week on projects that push the boundaries of AI reasoning in physics, with potential for ongoing work and extension.

Qualifications

  • PhD-level Applied Physicists with deep domain expertise.
  • Ability to explain complex physics and derivations clearly in English.
  • Experience working independently and asynchronously.

Responsibilities

  • Design advanced physics problems requiring multi-step reasoning across quantum mechanics, electromagnetism, and thermodynamics.
  • Draft rigorous, step-by-step gold-standard solutions with precise units and constants.
  • Audit AI outputs for physical consistency and identify violations of physical laws.

Skills

PhD-level expertise
Excellent English communication
Independent and self-motivated

Education

PhD completed or in final stages in Applied Physics

Tools

Python (NumPy/SciPy)
MATLAB
COMSOL

Job description

Applied Physics Specialist (AI Training)

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

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