Scientific Computing SME (Physics) at Turing

Scientific Computing SME (Physics) | Contractor | Fully Remote | 20–40 hrs/week

Turing is seeking a Physics Subject Matter Expert to help fine-tune and evaluate large language models (LLMs). In this role, you'll design challenging physics problems, craft detailed solutions, and collaborate with AI researchers to push the boundaries of what frontier models can do. This is a unique opportunity to shape the future of AI while future-proofing your own career.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI. Turing specializes in high-quality data, advanced training pipelines, and top-tier AI researchers across coding, reasoning, STEM, and more.

What You'll Do

• Design and solve challenging Physics problems that probe the limitations of large language models.
• Create clear, high-quality, step-by-step solutions with well-articulated reasoning.
• Collaborate with LLM researchers to align problems with evaluation goals — especially in areas where models struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation).
• Help define new evaluation benchmarks spanning early undergraduate to PhD-level Physics topics.

Requirements

• Analytical Skills: Strong research and analytical capabilities.
• Feedback Skills: Ability to provide constructive, detailed annotations.
• Creative Thinking: Lateral and creative problem-solving approach.
• Communication: Excellent written communication and remote collaboration skills.
• Independence: Self-motivated and able to work autonomously in a remote environment.
• Technical Setup: Reliable desktop/laptop with a strong internet connection.

Preferred Qualifications

• Currently pursuing or holding a Master's, Ph.D., or Postdoctoral degree in Physics, Applied Physics, or a related field.
• Ability to analyze and solve complex physics problems with a structured, logical approach.
• Skill in explaining physics concepts clearly using simple language and sound reasoning.

Technical Skills

• Strong proficiency in Python for scientific computing.
• Experience with scientific libraries: NumPy, SciPy, SymPy, Pandas, Matplotlib.
• Understanding of numerical methods, algorithms, and computational complexity.
• Ability to design problems with precise, verifiable numerical outcomes.

Engagement Details

• Commitment: Minimum 20 hrs/week (options: 20, 30, or 40 hrs/week); at least 4 hrs/day with 4-hour overlap with PST.
• Type: Contractor/Freelancer (no medical or paid leave benefits).
• Duration: 6 weeks, with potential for extension based on performance.

Perks

• Fully remote work environment.
• Opportunity to contribute to cutting-edge AI research with leading LLM companies.
• Potential contract extension based on performance and project needs.