About Client:

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta

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Job Title: Nutrition & Dietary Habits Annotator

Location: Pan India

Experience: 3+ yrs

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: Immediate joiners

Roles & Responsibilities:

Role Overview:

We are seeking experienced Nutrition & Dietary Habits Experts help evaluate and enhance large language model (LLM) outputs related to nutrition, dietary habits, and healthy eating. You’ll assess AI-generated content for scientific accuracy, safety, and relevance — contributing to the development of responsible AI in nutrition and wellness. Selected talents will label and evaluate data related to food intake, dietary patterns, and nutrition information to support AI models focused on nutrition tracking, coaching, or research.





What You'll Do Day-to-Day:

- Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs.
- Classify dietary patterns (e.g., macronutrient balance, meal timing, dietary restrictions/preferences).
- Verify accuracy of nutritional data against trusted references (e.g., food composition databases).
- Identify and flag mislabeled, inconsistent, or culturally ambiguous food entries.
- Apply and help refine annotation guidelines for diverse cuisines and dietary contexts.
- Maintain consistency and quality benchmarks across large annotation batches.

Requirements:

- Background in nutrition, dietetics, food science, or a related field.
- Familiarity with food composition databases and dietary assessment methods.
- Robust attention to detail, especially with portion estimation and food categorization.
- Comfort working with annotation tools, spreadsheets, or structured data formats.
- Ideal to have a MacBook.

Preferred Qualifications:

- Registered Dietitian (RD) or equivalent credential.
- Experience annotating multilingual or multicultural food data.
- Prior experience in data labeling for ML/AI applications.
- Primary: Registered Dietitian Nutritionist (RDN) or Registered Dietitian (RD) credential from an accredited body (e.g., Academy of Nutrition and Dietetics in the US).
- Secondary (Bonus): Advanced degree in Nutrition Science, Public Health Nutrition, or Clinical Dietetics.
- Experience: Minimum 2-3 years of clinical or community nutrition counseling experience.

📌 Nutrition & Dietary Habits Annotator (India)
🏢 People Prime Worldwide
📍 India