Nutrition & Dietary Habits Annotator

Our client is seeking nutrition and dietary-data professionals to support an AI training and evaluation initiative. You will review food, dietary-pattern, and nutrition information so AI systems can be evaluated for scientific accuracy, safety, and usefulness across varied dietary contexts.

What You'll Do

• Annotate food items, portion sizes, meal composition, and nutrient information from text, images, or food logs.
• Classify dietary patterns, including macronutrient balance, meal timing, restrictions, and preferences.
• Verify nutrition information against trusted food-composition references.
• Identify inconsistent, mislabeled, or culturally ambiguous food entries.
• Review AI-generated nutrition content for scientific accuracy, safety, and relevance.
• Help refine guidance for diverse cuisines while maintaining consistency across annotation batches.

Requirements

• At least 3 years of relevant experience in nutrition, dietetics, food science, community nutrition, or a related field.
• Familiarity with food-composition databases and dietary-assessment methods.
• Strong judgment regarding portion estimation, food categorization, and structured nutrition data.
• Comfort using spreadsheets, annotation tools, or structured-data formats.
• Ability to commit for 8 weeks, work 8 hours per day, and overlap at least 4 hours with Pacific Time.

Preferred Qualifications

• RD, RDN, or an equivalent nutrition credential.
• Advanced education in nutrition science, public-health nutrition, or clinical dietetics.
• Experience with multicultural food data or prior AI/ML data labeling.

Compensation

$35 USD per hour.

Where you can work

This role is 100% remote, for applicants located in United States.