Physicist for AI Model Training

# Physicist for AI Model Training

**Compensation:** $80–$100/hr

**Location:** Remote

**Employment Type:** Contract

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About this role

In this role, you'll leverage your advanced physics expertise to contribute to the training of next-generation AI systems. Your insights will play a crucial role in shaping how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what truly matters.

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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.

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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).

## Eligibility

Individuals with a passion for research, detail-oriented problem-solving, and a drive to shape the future of AI are strongly encouraged to apply. Your insights and technical acumen will directly influence the development of advanced AI models in real-world contexts.

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/physicist-for-ai-model-training-saidgig