AI Training for Nutritionists

About the Opportunity: 

  • Cutting-Edge Projects: Work on challenging projects that push the boundaries of AI 
  • Flexibility: Set your own hours and work remotely from anywhere
  • Weekly payouts: Get paid conveniently on a weekly basis
  • Professional growth: Gain valuable experience in AI while honing your writing skills and deepening your domain expertise
  • Collaborative environment: Join a team of talented professionals who share your passion for AI
  • Duration: Variable depending on project length, flexible hours
  • Location: Remote from any of the following countries - United States, Canada, Puerto Rico, Mexico, United Kingdom, Australia, New Zealand, Argentina


  • You will train AI models in your domain of expertise by crafting and answering questions related to your field.
  • You will evaluate and rank responses generated by AI systems.
  • You will assess the factual accuracy and relevance of text produced by AI models in the context of your field.


  • B.S. in Nutrition or Dietetics or equivalent
  • Experience in counseling individuals on nutrition-related matters provides insights into common misconceptions, trends, and practical advice.
  • Ability to evaluate the scientific validity of nutrition-related information, ensuring AI-generated content aligns with established principles and guidelines.
  • In depth understanding of different dietary patterns and nutritional needs allows you to guide AI models in generating tailored content for specific audiences.
  • Experience producing content that promotes healthy lifestyles, offers evidence-based recommendations, and educates on nutrition's importance.

Nice to have:

  • M.S. or PhD in Nutrition or Dietetics or equivalent
  • Professional writing experience as a copywriter, journalist, technical writer, editor, or similar roles with a focus on Nutrition. 
  • Knowledge in Health and Wellness subfields.
  • Familiarity with AI and machine learning concepts.


  • Hourly rate: Up to US $30.00, depending on your level of expertise

Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.

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