DevOps Engineer(Azure)

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and english comprehension skills The ideal candidate should have a solid foundation in Biology, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down complex biological concepts into simple, clear explanations and work efficiently. The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!

Responsibilities:

Design and solve challenging Biology problems to probe the limitations of large language models. Develop high-quality, step-by-step solutions with clear and rigorous reasoning. Collaborate with LLM researchers to align problem types with evaluation goals, especially in areas where models typically struggle (e.g., conceptual abstraction, multi-step reasoning, and data interpretation). Contribute to defining new evaluation benchmarks based on Biology curricula spanning early undergraduate to PhD-level topics.

Required Qualifications:

Candidates with a Master’s or Ph.D., or those currently pursuing a Ph.D./Postdoctoral degree in Biology, Biotechnology, Biochemistry, or a related field are encouraged to apply. Strong research and analytical skills. Ability to provide constructive feedback and detailed annotations. Creative and lateral thinking abilities. Excellent structured communication and collaboration skills in a remote setting. Self-motivated and able to work independently. Access to a desktop/laptop with a reliable internet connection. Ability to analyze and solve complex biological problems with a structured, logical approach. Ability to explain biology concepts clearly using simple language, visuals, and simulations where needed.

Offer Details

Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor

Evaluation Process

Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to schedule an interview.