Nutrition Expert – AI Data Annotation
- Source: LinkedIn
- RLink Solutions
- Remote
- United States
- Senior
Job Description
Nutrition & Dietary Habits Annotator
Location: Remote – USA
Engagement: Independent Contractor
Duration: Short-term contract
Availability: 8 hours/day, with 4 hours of overlap with PST
Rate: $30–$40/hour (based on experience)
Start Date: Immediate
Role Overview
We are looking for experienced Nutrition & Dietary Habits Experts to help evaluate and improve AI-generated content related to nutrition, dietary habits, and healthy eating.
The selected candidates will review and annotate food-related data, assess nutritional information, and ensure AI-generated outputs are accurate, scientifically sound, and relevant.
Key Responsibilities
- Annotate food items, portion sizes, meal composition, and nutritional content using text, images, and dietary logs.
- Classify dietary patterns, including macronutrient balance, meal timing, and dietary preferences.
- Verify nutritional information using trusted food composition databases.
- Identify inconsistencies, incorrect food labels, and culturally ambiguous food entries.
- Follow annotation guidelines and maintain high-quality standards.
- Work with annotation tools, spreadsheets, and structured datasets.
Required Qualifications
- 3+ years of relevant professional experience.
- Educational 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.
- Experience working with spreadsheets, annotation tools, or structured data.
Preferred Qualifications
- Registered Dietitian (RD/RDN) certification or equivalent credential.
- Advanced degree in Nutrition Science, Public Health Nutrition, or Clinical Dietetics.
- 2–3 years of clinical or community nutrition counseling experience.
- Experience with AI/ML data annotation.
- Familiarity with multicultural and multilingual food data.
- Access to a MacBook is preferred.
What We Offer
- Opportunity to contribute to cutting-edge AI development.
- Fully remote working environment.
- Exposure to advanced AI and LLM technologies.
