Posted Sep 25, 2026 13 views
Turing is developing one of the most rigorous STEM AI training datasets in the industry through its SciCode project. This initiative focuses on creating high-quality scientific coding tasks designed to train and evaluate advanced AI models. As a SciCode Trainer, you will play a vital role in advancing AI research by authoring, implementing, and reviewing complex scientific problems across core STEM disciplines, particularly chemistry. Your contributions will help shape the future of AI capabilities by ensuring the accuracy and quality of the training data.
Key Responsibilities:
- Write detailed scientific problem specifications that include one main problem and at least three logically connected sub-problems, which progressively build toward solving the main problem.
- Implement verified golden solutions in Python, ensuring complete unit test coverage for reliability.
- Design discriminative test cases that effectively distinguish between correct and incorrect model outputs.
- Conduct quality control validation on the Turing Central Task Platform (CTP), including Tier 1 structural checks and Tier 2 quality rubric assessments.
- Iterate on tasks based on quality control feedback to meet Pass@K evaluation criteria across multiple large language model (LLM) judges such as GPT, Gemini, and Nemotron.
- Maintain a high standard of output quality with a low rework rate, aiming for consistent first-time approval at Level 1 (L1).
- Participate in regular sync calls for reviews, feedback sessions, and project standups during overlapping hours with the PST time zone.
Required Qualifications:
- Master’s degree or PhD in Chemistry.
- Strong Python programming skills, particularly with experience in scientific computing.
- Ability to craft rigorous, well-posed scientific problems with clear constraints and expected outputs.
- Exceptional attention to detail to ensure tasks 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 using scientific libraries such as NumPy, SciPy, SymPy, or other domain-specific scientific tools.
- Published research or academic project experience in a STEM domain is highly desirable.
Preferred Qualifications and Offer Details:
- Commitment to a 40-hour workweek with a required 4-hour overlap with Pacific Standard Time (PST).
- Engagement is on a contractor or freelancer basis, with no entitlement to medical benefits or paid leave.
- The contract duration is 8 weeks.
This role offers a unique opportunity to contribute directly to cutting-edge AI research by leveraging your expertise in chemistry and scientific programming. If you are passionate about advancing AI through high-quality data creation and enjoy working in a collaborative, fast-paced environment, this position is an excellent fit.
Skills
Job Details
What is your Competitive Advantage?
Similar Job Titles
Scientific Coding Expert - Chemistry and Python
Sehrish Azhar
Motivational Speaker & Blogger
Living Upbeat
Babar Ahmed Khan
Territory Sales Manager
Engro Foods
Ayesha Shaukat
Social Media Marketing Manager
Ivoke
Mona Sharif
Senior Team Lead
Konext PVT. LTD
Muzammil Baig
Digital Marketing Manager
IT Services Group
Ali Aziz
CEO
Shopistan
Zohaib Ali
Marketing Manager
Digital Online Devices
Zubair Anjum
Business Excellence Specialist
Nestle Pakistan
Aqib Irshad
Head of HR, Training & OD
FINCA
Usman Habib
Recruitment & Training Executive
ACS Synergy (Pvt) Ltd.
