LLM Expert - Chemistry

About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality. In coding, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows.

Role Overview :

The Chemistry LLM Expert will leverage advanced expertise in chemistry, chemical engineering, materials science, or related scientific disciplines to support the development, evaluation, and optimization of large language models (LLMs) for domain-specific applications. This role combines scientific knowledge, analytical problem-solving, and programming skills to create high-quality datasets, benchmark evaluations, automated assessment frameworks, and AI-powered workflows. The ideal candidate will play a key role in improving the accuracy, reliability, reasoning capabilities, and practical utility of AI systems in chemistry and engineering contexts.

What You'll Do Day-to-Day :

Develop chemistry-focused datasets, benchmarks, and problem sets for LLM evaluation. Create reference answers, grading rubrics, and automated assessment frameworks. Evaluate AI-generated responses for scientific accuracy, reasoning quality, and calculation correctness. Build Python-based tools, workflows, and evaluation pipelines using APIs and structured data. Identify model weaknesses and provide recommendations to improve performance. Collaborate with AI researchers and engineers to enhance domain-specific AI capabilities.

Requirements :

Master’s degree or Ph.D. in Chemistry, Chemical Engineering, Materials Science, or a related field. Strong expertise in chemistry, chemical engineering, materials science, or related scientific disciplines. Proficiency in Python and experience with scientific computing or data analysis tools. Familiarity with LLMs, prompt engineering, AI evaluation, or generative AI technologies. Strong analytical skills with the ability to assess technical accuracy and scientific reasoning. Excellent written communication and technical documentation skills.

Duration of Contract - 24 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap