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Coding & Software Engineering

Physics Expert (PhD)

ContractorRemote10 openings$80 - $100/hour

About this role

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Skills

LaTeXSymPyPythonJupyterResearch

Key responsibilities

  • Utilize your advanced physics expertise to solve complex, novel problems and provide high-quality input for AI model training.
  • Review, analyze, and annotate research materials or data in your specialized subfield.
  • Document your thought processes and solutions clearly using LaTeX, Jupyter, and Python to ensure reproducibility and clarity.
  • Collaborate with the customer's team to refine problem statements and deliver detailed feedback on model outputs.
  • Engage in rigorous research and literature review to ensure the accuracy and relevance of data provided to the AI.
  • Communicate findings and insights effectively, both in writing and verbally, to technical and non-technical stakeholders.
  • Maintain confidentiality and uphold data integrity throughout the AI training process.

Required skills & qualifications

  • PhD in Physics or currently a senior-level PhD student with research focus in one or more of the specified subfields.
  • Active research record with 2–5 representative publications (within the last ~5 years), with arXiv or DOI references.
  • Proficiency in LaTeX, SymPy, Python, and Jupyter for technical communication and computational work.
  • Demonstrated strong written and verbal communication skills, with a focus on clarity and precision.
  • Proven expertise in at least one of the following subfields: High Energy Physics/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter (moiré systems, magnetic materials, PXP/Rydberg), AMO/Quantum Optics, Gravitation/Cosmology/Astrophysics, Quantum Information (error correction, spin squeezing, f-divergences, Haar measures), Optical Properties of Materials.

Preferred qualifications

  • Postdoctoral experience or equivalent industrial research background.
  • Experience with interdisciplinary research or collaborative scientific teams.
  • Familiarity with AI, machine learning, or data science concepts (not required, but advantageous).
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