Scientific Coding Expert - Chemistry and Python

Turing; Turkey; On-site; TRY 551,000 - 964,000; Full time

Job summary

Turing is building one of the most rigorous STEM AI training datasets. As a SciCode Trainer, you will author, implement, and review complex scientific problems across core STEM disciplines, writing clear constraints and discriminative tests to ensure high-quality tasks.

You will work on problem specifications, implement golden solutions in Python, and participate in QC validations and reviews to meet stringent evaluation criteria.

Qualifications

• Master’s or PhD in Chemistry or closely related field.
• Strong Python programming skills for scientific computing.
• Ability to craft rigorous, well-posed scientific problems with clear constraints.

Responsibilities

• Write scientific problem specifications with a main problem and at least 3 sub-problems.
• Implement verified golden solutions in Python with unit tests.
• Design discriminative test cases to differentiate correct vs. incorrect outputs.
• Run QC validation on the Turing Central Task Platform including structure checks and rubrics.
• Iterate on tasks based on feedback to meet Pass@K criteria across multiple judges.
• Participate in reviews and standups during overlap hours.

Skills

Python programming

Attention to detail

Scientific problem-writing

AI data annotation

Education

Master’s or PhD in Chemistry

Tools

NumPy

SciPy

SymPy

Job description

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