Chemistry Python Coding Trainer (Remote SciCode)
Listing checked September 8, 2026 · pay as published by Turing
Overview
Turing is assembling a team of scientific coding experts for its SciCode project, an effort to build a rigorous STEM dataset for training frontier AI models. As a SciCode Trainer, you will author and review chemistry problems in Python, creating tasks that test and improve model reasoning. The work involves a blend of scientific writing, coding, and quality control, all aimed at producing data that meets strict evaluation standards. This is a remote, 8-week contract role requiring a 4-hour overlap with PST hours and a commitment of 40 hours per week.
What You'll Do7
- 1Author scientific problem sets that include one main challenge and at least three related sub-problems, structured to build logically toward the solution.
- 2Implement working reference solutions in Python, paired with unit tests that validate every part of the solution.
- 3Design test cases that can reliably tell apart correct from incorrect model outputs, focusing on clarity and edge cases.
- 4Submit tasks into the Turing Central Task Platform (CTP) and run quality checks, including the Tier 1 structure checklist and Tier 2 rubric.
- 5Revise tasks in response to feedback from multiple large language model judges, including GPT, Gemini, and Nemotron, to meet the Pass@K benchmark.
- 6Keep a steady output of high-quality tasks, aiming for first-pass approval with minimal need for rework.
- 7Take part in regular sync calls for reviews, project updates, and feedback during overlapping work hours.
Requirements8
- 1Graduate degree (Master's or PhD) in Chemistry or a closely related field.
- 2Strong command of Python for scientific computing, including handling data and building analytical scripts.
- 3Skill for writing precise, well-defined scientific problems with clear constraints and expected outputs.
- 4Sharp attention to detail, able to meet strict guidelines on problem clarity, test quality, and factual accuracy.
- 5Prior experience with tasks like AI data annotation, scientific research, or technical writing.
- 6Familiarity with natural language processing evaluation frameworks or coding benchmarks.
- 7Practical experience with scientific libraries such as NumPy, SciPy, or SymPy, or other domain-specific tools.
- 8A track record of published research or project work in a scientific field.
Who Should Apply
This role fits a chemistry researcher or advanced graduate who also codes well in Python. You are someone who enjoys breaking down complex problems into testable steps and has a keen eye for spotting flaws in reasoning. People who dislike rigid formatting or find repetitive QC checks dull may not enjoy the work. Candidates often miss out when their chemistry or Python skills are strong, but their writing lacks the precision these problems need. Another common failure is being unclear about constraints or expected outputs, which trips up the model judges.
Location
Compensation
Undisclosed by Turing
Required Skills
Application Tip
Show a sample chemistry problem you have written in Python, complete with unit tests. Also, mention your experience with LLM evaluation metrics like Pass@K, if you have it.
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