SciCode Trainer: Physics Coding Problems (Contract)

Prointegrate World It Consulting; United States; Hybrid; USD 179,000 - 250,000; Full time

Job summary

Turing is building one of the most rigorous STEM AI training datasets. The SciCode Trainer will author, implement, and review complex scientific problems across core STEM disciplines, contributing to cutting-edge AI research.

The role requires advanced degrees in physics and strong Python skills, with overlap hours of 4 hours with PST. This is a contractor assignment for 8 weeks, with duties including problem specification and QC reviews.

Qualifications

• Master's or PhD in Physics; strong Python for scientific computing.
• Write rigorous, well-posed scientific problems with clear constraints and outputs.
• Experience in AI data annotation, research, or scientific writing; familiarity with LLM evaluation frameworks and benchmarks.

Responsibilities

• Write scientific problem specifications with one main problem and at least 3 sub-problems, all linked and progressively building toward the main solution.
• Implement verified golden solutions in Python with complete unit test coverage.
• Design discriminative test cases to differentiate correct from incorrect model outputs; run QC on the Turing Central Task Platform.
• Maintain high output quality with a low rework rate and participate in sync calls during overlap hours.

Skills

Python programming

Physics PhD

scientific computing

Education

Master's or PhD in Physics

Tools

NumPy

SciPy

SymPy

Job description

Turing is building one of the most rigorous STEM AI training datasets. The SciCode Trainer will author, implement, and review complex scientific problems across core STEM disciplines, contributing to cutting-edge AI research.

The role requires advanced degrees in physics and strong Python skills, with overlap hours of 4 hours with PST. This is a contractor assignment for 8 weeks, with duties including problem specification and QC reviews.