Scientific Coding Expert-Physics-180 dollar/ Task | Remote | 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

Master's or PhD in Physics. Strong Python programming skills with experience in scientific computing

• Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs
• Attention to detail - tasks must meet strict rubrics for well-posedness, test case discriminativeness, scientific correctness, and determinism
• Prior experience in AI data annotation, research, or scientific writing Familiarity with LLM evaluation frameworks or coding benchmarks Experience with libraries such as NumPy, SciPy, SymPy, or domain-specific scientific tools . Published research or academic project experience in a STEM domain Quality Standards

Availability

8 hours per day with an overlap of 4 hours with PST.

Google scholar links is mandatory

About Turing:

Based in San Francisco, California, Turing is the worlds leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview

Turing is building one of the most rigorous STEM AI training datasets in the industry. The SciCode project involves creating high-quality scientific coding tasks that are used to train and evaluate frontier AI models. As a SciCode Trainer, you will be directly contributing to cutting-edge AI research by authoring, implementing, and reviewing complex scientific problems across core STEM disciplines.

Responsibilities:

• Write scientific problem specifications consisting of one main problem and a minimum of 3 sub-problems, all logically connected and progressively building toward the main problem solution Implement verified golden solutions in Python with complete unit test coverage
• Design discriminative test cases that clearly differentiate correct from incorrect model outputs Run QC validation checks on the Turing Central Task Platform (CTP) including Tier 1 structure checks and Tier 2 quality rubrics Iterate on tasks based on QC feedback to meet Pass@K evaluation criteria across multiple LLM judges (GPT, Gemini, Nemotron)
• Maintain high output quality with a low rework rate, targeting consistent L1 approval on first submission
• Participate in sync calls for reviews, feedback sessions, and project standups during overlap hours

Required Qualifications:

• Master's or PhD in Physics. Strong Python programming skills with experience in scientific computing
• Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs
• Attention to detail - tasks must meet strict rubrics for well-posedness, test case discriminativeness, scientific correctness, and determinism
• Prior experience in AI data annotation, research, or scientific writing Familiarity with LLM evaluation frameworks or coding benchmarks Experience with libraries such as NumPy, SciPy, SymPy, or domain-specific scientific tools . Published research or academic project experience in a STEM domain Quality Standards

Offer Details:

• Commitments Required : Overlap of 4 hours with PST and 40 hrs/week
• Engagement type : Contractor assignment/freelancer (no medical/paid leave)
• Duration of contract : 8 weeks