Scientific Coding Analyst & Chemistry Trainer
Shaping Frontier AI: The Turing Scientific Coding Analyst & Chemistry Trainer Role
- Location
- Remote — Global
- Engagement
- Contractor
Earns 25 points on this device — once per role per day
Applications are handled by Turing on their own site. Dealuxe is not the employer and does not screen applicants.
An in-depth look at Turing's SciCode initiative, uniting advanced chemical research with programmatic AI evaluation.
Artificial intelligence has achieved remarkable milestones in general natural language processing, creative writing, and basic programming assistance. However, when deployed into highly rigorous technical domains—such as computational chemistry, molecular modeling, and advanced scientific simulation—frontier models demand specialized reasoning capabilities. Bridging this gap requires high-fidelity, expert-crafted datasets built by practicing domain specialists.
Turing is leading this technological wave by building one of the most rigorous STEM AI training datasets in the industry. Through the SciCode project, Turing engages elite scientific professionals to author, implement, and review complex scientific problems designed to train and evaluate state-of-the-art AI models.
About the Role: Scientific Coding - Chemistry & Python
As a Scientific Coding Trainer specializing in Chemistry and Python, your mandate is to translate high-level chemical calculations and quantitative research principles into structured, automated programming benchmarks. You will directly contribute to cutting-edge AI research by establishing the rigorous frameworks that large language models must master to solve real-world scientific problems.
A Day in the Life of a SciCode Trainer:
- Problem Authoring: Writing multi-step scientific problem specifications, structuring one main overarching problem supported by a minimum of three logically connected sub-problems.
- Python Implementation: Developing verified golden solutions in Python utilizing specialized scientific libraries like NumPy, SciPy, and SymPy.
- Test Case Design: Crafting discriminative test cases that rigorously separate correct model outputs from incorrect assumptions.
- Quality Control Validation: Executing QC checks on the Turing Central Task Platform (CTP)—comprising Tier 1 structure checks and Tier 2 quality rubrics.
- Iterative Refinement: Refining tasks based on QC feedback to satisfy Pass@K evaluation criteria across multiple leading LLM judges (including GPT, Gemini, and Nemotron).
You Are a Fit If You Possess:
This is an elite engagement tailored for rigorous analytical thinkers and computational scientists. To thrive in this role, candidates should exhibit:
- Educational Background: A Master's or PhD degree in Chemistry or closely related quantitative STEM fields.
- Programming Fluency: Strong Python programming skills with demonstrated experience in scientific computing and algorithmic problem-solving.
- Technical Precision: The ability to write well-posed scientific problems with absolute clarity of constraints, expected outputs, and deterministic behavior.
- Domain Knowledge: Practical familiarity with scientific libraries (NumPy, SciPy, SymPy) and published research or academic project experience.
Perks of Working with Turing
Contracting with Turing provides unique advantages for top-tier global technologists:
- Global Remote Flexibility: Work seamlessly from eligible international regions including Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, and Vietnam.
- Cutting-Edge Exposure: Sit at the direct forefront of generative AI research, training the models that define the future of automated scientific discovery.
- Collaborative Growth: Participate in regular sync calls, peer reviews, and project standups to refine evaluation standards.
Engagement Details & The Onboarding Milestone
The engagement is structured as an 8-week remote contractor assignment requiring a 40-hour weekly commitment, with a mandatory 4-hour daily overlap with Pacific Standard Time (PST).
To ensure long-term stability and unlock access to advanced project tasks, successful candidates must complete the comprehensive onboarding process and complete their initial 10 hours of work. Crossing this initial milestone solidifies your standing within the platform and clears the path for continued project expansion.
Ready to Shape the Future of AI?
Review complete project guidelines and submit your application directly through Turing's portal.
Join the premier network of remote scientific engineers.
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The application is on Turing's own site and takes a few minutes.
Earns 25 points on this device — once per role per day
Dealuxe is not the employer, does not set the pay or the hiring terms, and cannot guarantee a role is still open. If you complete a purchase or form, we may earn a small commission at no extra cost to you.
Following an offer here banks 10 points on this device — once per page, within the 500 points a day anything on the site can earn.Ad Disclosure: the application link is a referral link.
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