Nutrition & Dietary Habits Annotator

What You'll Do6

• Annotate food items, portion sizes, meal makeup, and nutrient values taken from text, photos, or food logs.
• Label dietary patterns, covering macronutrient balance, meal timing, restrictions, and personal preferences.
• Check nutrition figures against trusted food-composition references before they enter the dataset.
• Flag entries that look inconsistent, mislabeled, or ambiguous across different cuisines.
• Review AI-written nutrition content for scientific accuracy, safety, and relevance to the question asked.
• Refine annotation guidance so diverse cuisines stay consistent from one batch to the next.

Requirements5

• Three or more years of experience in nutrition, dietetics, food science, community nutrition, or a related field.
• Working knowledge of food-composition databases and dietary-assessment methods.
• Sound judgment on portion estimation, food categorization, and structured nutrition data.
• Comfort with spreadsheets, annotation tools, or structured-data formats.
• Availability for 8 weeks at 8 hours per day, with at least 4 hours overlapping Pacific Time.

Preferred Qualifications4

• RD, RDN, or an equivalent nutrition credential.
• Advanced education in nutrition science, public-health nutrition, or clinical dietetics.
• Experience with multicultural food data.
• Prior AI or machine learning data labeling work.

Who Should Apply

Registered dietitians, food scientists, and community nutrition specialists with at least three years of hands-on work will fit this contract well. The role suits someone who can look at a food log or photo, pin down portions and nutrients with confidence, then defend that call against a reference database.

Salary Insight