Physics Expert (PhD)

$80 - $100/hourpay

Required Skills

LaTeX
SymPy
Python
Jupyter
Research
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: Physics Expert (PhD)


Job Type: Contractor


Location: Remote


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.


Key Responsibilities:

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


Required Skills and Qualifications:

  1. PhD in Physics or currently a senior-level PhD student with research focus in one or more of the specified subfields.
  2. Active research record with 2–5 representative publications (within the last ~5 years), with arXiv or DOI references.
  3. Proficiency in LaTeX, SymPy, Python, and Jupyter for technical communication and computational work.
  4. Demonstrated strong written and verbal communication skills, with a focus on clarity and precision.
  5. 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:

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



Additional Information:

This is a unique opportunity to apply your physics expertise in an impactful AI training project, collaborating with the customer's innovative team. Your insights and technical acumen will directly influence the development of advanced AI models in real-world contexts. Individuals with a passion for research, detail-oriented problem-solving, and a drive to shape the future of AI are strongly encouraged to apply.

Apply now

Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

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