Assistant Professor of Physics | $30/hr

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Our partner is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab.This position focuses on evaluating and advancing large language models (LLMs) by applying deep expertise in theoretical and applied physics to assess model reasoning, accuracy, and depth across advanced physical science domains.


Key Domains

  • Electromagnetism and Photonics
  • Thermodynamics
  • Optics and Acoustics
  • Theoretical Optics
  • Theoretical Mechanics
  • Statistical Mechanics
  • Atomic and Molecular Physics
  • Solid State Physics
  • Semiconductor Physics
  • Fluid Physics
  • Astrophysics and Cosmology
  • Biophysics
  • Electrical Engineering
  • Mechanical Engineering
  • Control Theory and Control Engineering


Key Responsibilities

  • Evaluate

    scientific correctness, conceptual rigor, and depth

    of LLM-generated responses across physics and engineering topics.
  • Review outputs involving

    mathematical modeling, experimental methods, and theoretical frameworks

    in physics.
  • Identify

    factual errors, reasoning flaws, and conceptual misunderstandings

    in model outputs.
  • Benchmark model performance on

    advanced physics and applied engineering problems

    .
  • Work

    independently and asynchronously

    using proprietary evaluation tools.


Requirements

  • PhD (or PhD candidate)

    in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field.
  • Strong command of

    graduate-level physics and mathematical reasoning

    .
  • Excellent written communication

    and analytical abilities.
  • Ability to

    work independently in a remote, asynchronous setting

    .
  • Proficiency in Python

    for scientific analysis or model evaluation preferred.


Role Details

  • Part-time (30 hours/week)

  • Remote and asynchronous

    work environment
  • Flexible schedule

    to accommodate global contributors


Compensation

  • Contractor position

  • Weekly payments

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