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Remote Chemistry Expert (PhD)
Data Scientist / Chemistry Expert (Mid-PhD Level) – AI Model Fine-Tuning & Cognitive Tasks
Location: Fully remote (California-based company) Topic: Work to fine-tune large language models (LLMs) like ChatGPT & Co. with a chemistry/analytical science focus
About Turing
Based in San Francisco, California, Turing is the world’s leading AI research accelerator—partnering with frontier labs and global enterprises to deploy predictive AI systems. We support customers in two key ways:
- Research acceleration: Providing high-calibre data, training pipelines, and researchers specialising in advanced AI domains (e.g., coding, reasoning, STEM, multilinguality, multimodality, and AI agents).
- Enterprise transformation: Helping organizations move from AI proof-of-concept (PoC) to scalable, performance-impacting systems that directly touch profit-and-loss (P&L) metrics.
Role Overview
You’ll work on high-value projects fine-tuning large language models (LLMs) such as ChatGPT, leveraging your deep analytical and technical skills—specifically in Chemistry.
Ideal skill profile:
- PhD-level chemistry knowledge (comparable to coursework standards)
- Proven ability to deconstruct complex chemical problems into clear, structured formats
- Curiosity and adaptability—this role will also let you learn how AI supercharges analytical work, future-proofing your career in an AI-first world.
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Key Responsibilities
You’ll collaborate on projects applying State-of-the-Art AI to chemistry content. Here’s what day-to-day work looks like:
- Creating challenging problems rooted in graduate-level (and above) Chemistry, then providing:
- Textual explanations and polished annotations
- Step-by-step reasoning for postgrad-level organic and physical chemistry
- Visual aids (e.g., annotated reaction mechanisms, energy diagrams, chemical simulations)
- Combining modalities: Merge written analysis with diagrams, equations, reaction schemes, and other visual representations (e.g., Le Chatelier’s principle, molecular modelling).
- Solving problems at or beyond the level of exam material from top engineering entrance tests or university courses (e.g., thermodynamics, kinetics, electrochemical cells).
Requirements
Essential
- Analytical skills: Capacity to dissect complex problems and flag critical hypotheses.
- Collaborative feedback: Ability to give specific, rating-ready annotations and explanations.
- Creative thinking: Intuition to see connections or simplify abstract concepts.
- Self-motivation: Flourish in a remote, async work environment with low direct supervision.
- Tech setup: Dedicated laptop PC with stable—as-is, Turing’s cost of internet access—will not cover office equipment beyond provided tech.
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Preferred
- Currently pursuing a PhD/Postdoc in Chemistry, Chemical Engineering, Biochemistry, or a related field at a competitive university.
- Experience breaking down PhD-level topics into didactic formats, e.g., for purposes of teaching, tutoring, or documentation. Projects involving education or technical materials are a plus.
- Fluency with troubleshooting logic and mathematics in chemistry (e.g., stoichiometry, equilibrium, acid-base theory).
Perks & Opportunities
✅ Flexibility: Work fully remote from anywhere in the world. ✅ Cutting-edge exposure: Contribute to state-of-the-art AI projects at leading LLM companies. ✅ Scalability: Long-term contract opportunities available based on performance + project demand.
Type: Freelance / Contractor (multimonth engagement) – Covers contract hours only, with no benefits (e.g., no medical coverage or paid time off).
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