Nutrition Data Evaluation Expert

About OpenTrainOpenTrain 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 WorkAI 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 connectionChoose flexible part-time work that fits around other commitmentsApply subject-matter expertise to cutting-edge AI developmentThe RoleOpenTrain 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 contractorTime commitment: 20+ hours per weekLocation: Worldwide, remoteWorking language: EnglishData type: TextTask types: Classification and evaluation ratingWhat You'll DoYou 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 logsClassify dietary patterns, including macronutrient balance, meal timing, restrictions, and preferencesVerify nutritional information against trusted food composition databases and other reliable referencesIdentify mislabeled or culturally ambiguous food entriesFlag inconsistencies for correctionApply and help refine annotation guidelines for diverse cuisinesMaintain consistency and quality benchmarks across large annotation batchesEvaluate nutrition content for scientific accuracy, safety, and relevanceRequirementsYou 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 fieldFamiliarity with food composition databases and dietary assessment methodsAbility to estimate portions and categorize foods accuratelyAbility to evaluate nutrition content for scientific accuracy, safety, and relevanceExperience with structured annotation or machine-learning data-labeling workflowsComfort using annotation tools, spreadsheets, or structured data formatsHelpful BackgroundThe following experience can strengthen your fit for the assignment, although it is not required in the listed requirements. Registered Dietitian credential or equivalent qualificationExperience with multilingual or multicultural food dataPrior data-labeling work for machine-learning or AI applicationsAccess to a MacBookWhy Work With OpenTrainAI 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 fieldApply specialized nutrition knowledge to practical AI developmentWork remotely with flexible part-time schedulingCreate a stronger portfolio of AI training and data-labeling work .