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
We are seeking experienced in Biology help evaluate and enhance large language model (LLM) outputs related to nutrition, dietary habits, and healthy eating. You’ll assess AI-generated content for scientific accuracy, safety, and relevance — contributing to the development of responsible AI in nutrition and wellness. Selected talents will label and evaluate data related to food intake, dietary patterns, and nutrition information to support AI models focused on nutrition tracking, coaching, or research.
What You'll Do Day-to-Day
- Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs.
- Classify dietary patterns (e.g., macronutrient balance, meal timing, dietary restrictions/preferences).
- Verify accuracy of nutritional data against trusted references (e.g., food composition databases).
- Identify and flag mislabeled, inconsistent, or culturally ambiguous food entries.
- Apply and help refine annotation guidelines for diverse cuisines and dietary contexts.
- Maintain consistency and quality benchmarks across large annotation batches.