Biology Domain Expert for AI Nutrition Review

You will help improve AI systems that work with nutrition, dietary habits, and healthy eating information. The work includes reviewing language model outputs and labeling structured nutrition data used in tracking, coaching, and research applications.

You will work with text, images, and food logs while applying consistent guidelines across large batches. You may also help refine instructions for handling different cuisines and dietary contexts.

• Annotate food items, portion sizes, meal composition, and nutrient content.
• Classify dietary patterns, including macronutrient balance, meal timing, restrictions, and preferences.
• Check nutritional data against trusted food composition databases and other reliable references.
• Identify mislabeled, inconsistent, or culturally ambiguous food entries.
• Evaluate AI outputs for scientific accuracy, safety, and relevance.
• Maintain quality and consistency across annotation batches.

What It Pays and Takes

This is an entry-level, part-time contract role. It is open worldwide and requires at least 20 hours per week.

• Location: Open worldwide.
• Time: 20 or more hours per week.
• Language: Fluency in English.
• Background: Nutrition, dietetics, food science, biology, or a related field.
• Knowledge of food composition databases and dietary assessment methods.
• Strong attention to detail for portion estimation and food categorization.
• Comfort using annotation tools, spreadsheets, or structured data formats.
• Ability to assess nutrition content for accuracy, safety, and relevance.
• Helpful: Registered Dietitian or equivalent credential.
• Helpful: Experience with multilingual or multicultural food data.
• Helpful: Previous data-labeling experience for AI or machine learning projects.
• Helpful: Access to a MacBook.

How It Works

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

About AI Training Work

AI training is the human work behind systems that learn from examples, including reviewing model responses and labeling text, images, and other data. OpenTrain is where people find these projects, build an AI training profile, and start applications.