Nutrition Data Evaluation Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and grow their experience in this rapidly expanding field.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Specialists prepare and review examples, evaluate model responses, and organize structured data so AI systems can become more accurate, useful, and safe.

• Work remotely with a computer and internet connection
• Choose flexible part-time work that fits around other commitments
• Apply subject-matter expertise to cutting-edge AI development

The Role

OpenTrain AI is seeking a Nutrition Data Evaluation Expert to improve AI systems that work with nutrition, dietary habits, and healthy eating information. You will combine professional nutrition judgment with structured annotation, evaluating AI-generated content for scientific accuracy, safety, and relevance while labeling food and dietary data used in nutrition tracking, coaching, and research applications.

This is an entry-level project opportunity requiring a background in nutrition, dietetics, food science, or a related discipline. The assignment is part-time and requires 20+ hours per week. Work is worldwide and conducted in English.

• Employment type: Part-time contractor
• Time commitment: 20+ hours per week
• Location: Worldwide, remote
• Working language: English
• Data type: Text
• Task types: Classification and evaluation rating

What You'll Do

You will work with varied dietary contexts and cuisines, using annotation tools and structured information to assess food and nutrition data. Your work will support consistent, high-quality datasets and help identify issues that could affect the performance or safety of nutrition-focused AI systems.

• Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs
• Classify dietary patterns, including macronutrient balance, meal timing, restrictions, and preferences
• Verify nutritional information against trusted food composition databases and other reliable references
• Identify mislabeled or culturally ambiguous food entries
• Flag inconsistencies for correction
• Apply and help refine annotation guidelines for diverse cuisines
• Maintain consistency and quality benchmarks across large annotation batches
• Evaluate nutrition content for scientific accuracy, safety, and relevance

Requirements

You should have a professional or academic background in nutrition, dietetics, food science, or a related discipline. The role requires careful judgment when evaluating nutrition information, estimating portions, categorizing foods, and recognizing dietary differences across cultures and cuisines.

• Background in nutrition, dietetics, food science, or a related field
• Familiarity with food composition databases and dietary assessment methods
• Ability to estimate portions and categorize foods accurately
• Ability to evaluate nutrition content for scientific accuracy, safety, and relevance
• Experience with structured annotation or machine-learning data-labeling workflows
• Comfort using annotation tools, spreadsheets, or structured data formats

Helpful Background

The following experience can strengthen your fit for the assignment, although it is not required in the listed requirements.

• Registered Dietitian credential or equivalent qualification
• Experience with multilingual or multicultural food data
• Prior data-labeling work for machine-learning or AI applications
• Access to a MacBook

Why Work With OpenTrain

AI training and data labeling are among the fastest-growing ways to work in tech. By evaluating nutrition content and preparing structured dietary data, you can contribute directly to how AI systems understand food, health, and everyday eating information.

OpenTrain helps you build a durable AI training portfolio by bringing your experience into one professional profile. As you contribute to projects like this one, you can showcase credible work, discover opportunities aligned with your expertise, and develop a long-term path in AI training.

• Build experience in a growing AI-focused field
• Apply specialized nutrition knowledge to practical AI development
• Work remotely with flexible part-time scheduling
• Create a stronger portfolio of AI training and data-labeling work