Nutrition & Dietary Habits Annotator

Role overview

Evaluate and improve large language model (LLM) outputs related to nutrition, dietary habits, and healthy eating. Assess AI-generated content for scientific accuracy, safety, and relevance, and label and evaluate data about food intake, dietary patterns, and nutrition information for AI models focused on nutrition tracking, coaching, or research.

Responsibilities

• Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs.
• Classify dietary patterns, including macronutrient balance, meal timing, and dietary restrictions or preferences.
• Verify nutritional data against trusted references, such as 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.

Requirements

• Background in nutrition, dietetics, food science, or a related field.
• Familiarity with food composition databases and dietary assessment methods.
• Strong attention to detail, particularly in portion estimation and food categorization.
• Comfort working with annotation tools, spreadsheets, or structured data formats.
• At least 3 years of relevant experience, including 2–3 years of clinical or community nutrition counseling experience.

Preferred qualifications

• Registered Dietitian (RD) or equivalent credential; an RDN or RD credential from an accredited body is identified as a primary qualification.
• An advanced degree in Nutrition Science, Public Health Nutrition, or Clinical Dietetics is a bonus.
• Experience annotating multilingual or multicultural food data, and prior data-labeling experience for ML/AI applications.
• A MacBook is ideal.

Schedule and engagement

• Short-term contractor/freelancer assignment; the engagement duration is listed as both 6 months and 8 weeks.
• Immediate start; 8 hours per day, with 4 hours of overlap with PST.
• Fully remote and flexible work environment.
• Maximum rate listed: $25–$35 per hour.
• No medical or paid leave.

Selection process

Shortlisting based on qualifications, followed by one interview round.