[Hiring] Nutrition & Dietary Habits Annotator @Donato Technologies Inc

Role Description

We are seeking experienced Nutrition & Dietary Habits Experts to 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.

Qualifications

• Background in nutrition, dietetics, food science, or a related field.
• Familiarity with food composition databases and dietary assessment methods.
• Strong attention to detail, especially with portion estimation and food categorization.
• Comfort working with annotation tools, spreadsheets, or structured data formats.

Requirements

• Registered Dietitian (RD) or equivalent credential.
• Experience annotating multilingual or multicultural food data.
• Prior experience in data labeling for ML/AI applications.
• Primary: Registered Dietitian Nutritionist (RDN) or Registered Dietitian (RD) credential from an accredited body (e.g., Academy of Nutrition and Dietetics in the US).
• Secondary (Bonus): Advanced degree in Nutrition Science, Public Health Nutrition, or Clinical Dietetics.
• Experience: Minimum 2-3 years of clinical or community nutrition counseling experience.

Benefits

• Work on the cutting edge of AI.
• Fully remote and flexible work environment.
• Exposure to advanced LLMs and insight into how they’re trained.

Offer Details

• Engagement type: Contractor assignment/freelancer (no medical/paid leave).
• Duration: 8 weeks.

Evaluation Process

• Shortlisting based on qualifications and one round of interview.