You will review and label nutrition information used in AI systems for nutrition tracking, coaching, or research. The work covers food records from text, images, and logs, with a focus on accuracy, safety, and relevance across different dietary and cultural contexts.
- Annotate food items, portion sizes, meal composition, and nutrient content.
- Classify dietary patterns, including macronutrient balance, meal timing, dietary restrictions, and preferences.
- Check nutrition information against trusted food composition databases and dietary references.
- Find mislabeled, inconsistent, or culturally unclear food entries.
- Help improve annotation guidance for diverse cuisines and dietary contexts.
- Maintain quality benchmarks across large annotation batches.