AI Data Trainer – Health & Wearables at Turing

AI Data Trainer – Health & Wearables | Contractor | Remote (US/India) | 10-Week Engagement

Turing is seeking detail-oriented AI Data Trainers with a passion for fitness, wellness, and health technology to support a high-impact project evaluating Gemini's next-generation personalization capabilities. This role sits at the intersection of AI, health data, and digital wellness — ideal for those who love wearables, nutrition tracking, and habit-building.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing specializes in high-quality data, advanced training pipelines, and AI expertise across coding, reasoning, STEM, multilinguality, and more.

Role Overview

In this role, you will evaluate how well AI can responsibly leverage personal data from sources such as Gmail, Google Photos, Google Search, YouTube, Google Health, and wearable devices to deliver experiences that are relevant, timely, accurate, and safe.

This opportunity is a great fit for individuals with strong interest in:

• Fitness tracking and athletic performance
• Nutrition and healthy lifestyle coaching
• Habit-building and wellness routines
• Health-tech products and wearable devices
• AI-powered personalized user experiences

Key Responsibilities

• Conduct multi-turn conversations with Gemini and compare model variants to assess response quality, tone, and contextual understanding.
• Evaluate AI outputs for grounding, personalization, safety, and accuracy, ensuring personal data is used correctly without hallucinations or privacy risks.
• Test predefined Health & Wellness scenarios involving wearables, physical activity, and nutrition-related queries.
• Provide clear qualitative feedback and debug notes, identifying reasoning gaps, retrieval issues, and comparative response performance.

Requirements & Eligibility

• Must be 18 years of age or older and authorized to participate in data training projects.
• Must be located in and/or operate using en-US or en-IN language settings.
• Must use a primary, daily-use personal Google account — testing or dummy accounts are not accepted, as the model requires a rich historical data footprint.
• Must own and actively use a Fitbit device or Pixel Watch — this is a mandatory prerequisite for Health & Wellness integration testing.

Engagement Details

• Type: Contractor
• Duration: 10 weeks
• Commitment: Minimum 4 hours/day, up to 40 hours/week, with at least 4 hours of overlap with PST

Evaluation Process

Shortlisted candidates will receive a Job Interest Form and will be contacted to discuss pre-onboarding requirements before the project begins.