Physics Expert (PhD)
Contractor · Remote · 10 openings
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
- 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).
$80–$100/hr
Remote