Domain Expert: Biology

You will review and label nutrition information used in AI systems for nutrition tracking, coaching, and research applications. Please review the duties and qualifications before applying, as this role combines biology expertise with nutrition data review.

• Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs.
• Classify dietary patterns, including macronutrient balance, meal timing, dietary restrictions, and preferences.
• Check nutritional data against trusted food composition databases and other reliable references.
• Find mislabeled, inconsistent, or culturally unclear food entries.
• Apply and help improve guidelines for different cuisines and dietary contexts.
• Maintain consistent quality across large batches of labeled data.
• Evaluate nutrition content for scientific accuracy, safety, and relevance.

• Pay: The listing does not provide a pay rate.
• Time: 20+ hours per week.
• Location: Open worldwide.
• Language: English fluency required.
• Work type: Part-time contractor role.
• Required background: Biology, nutrition, dietetics, food science, or a related field.
• Experience with food composition databases and dietary assessment methods.
• Strong attention to detail for portion estimates and food categorization.
• Comfort using annotation tools, spreadsheets, or structured data formats.
• Helpful: Registered Dietitian or equivalent credential.
• Helpful: Experience with multilingual or multicultural food data.
• Helpful: Previous data-labeling work for machine learning or AI applications.
• Helpful: Access to a MacBook.

Apply on OpenTrain with your resume and then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples. People label information and review model outputs so AI can become more accurate, useful, and safe; specialized knowledge matters when the work involves fields such as biology and nutrition.