Remote Fitness Enthusiasts (Wearables) - 75438 (Santa Clara)
Turing, Santa Clara, CA, United States
About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Role Overview:
We are looking for highly observant, detail-driven
AI Data Trainers
to support a high-impact project evaluating
Gemini’s next-generation personalization capabilities . This work sits at the intersection of
AI, health data, user behavior, and digital wellness .
In this role, you will test how well AI can responsibly use private personal data from sources like
Gmail, Google Photos, Google Search, YouTube, Google Health, and wearable devices
to deliver experiences that are relevant, timely, accurate, and safe.
This opportunity is especially exciting for people with a strong interest in:
Fitness tracking and performance
Nutrition and healthy lifestyle coaching
Habit-building and wellness routines
Health-tech products and wearables
Personalized user experiences powered by AI
Key Responsibilities
Conduct multi-turn conversations with Gemini and compare model variants to assess response quality, tone, and contextual understanding.
Evaluate outputs for
grounding, personalization, safety, and accuracy , ensuring the model uses personal data 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 by identifying reasoning gaps, retrieval issues, and why one response performs better than another.
Requirements & Eligibility
Age & Eligibility
Must be 18+ years old and authorized to participate in data training projects.
Regional Availability
Must be located in and/or operate using en-US or en-IN language settings to ensure cultural and linguistic nuance.
Google Account Standards
Strict Requirement:
You must use your primary, daily-use personal Google account. We cannot accept testing or dummy accounts, as the model requires a rich, historical data footprint (Gmail, Photos, etc.) to perform personalization evaluations.
Hardware Ecosystem
Must possess and actively use a Fitbit device or Pixel Watch. This hardware is a mandatory prerequisite for the Health & Wellness integration testing.
Offer Details:
Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
Engagement type: Contractor
Engagement Length: 10 weeks
Evaluation Process
-
Shortlisted candidates will be sent a
Job Interest Form .
Shortlisted candidates will be contacted to discuss the
pre‑onboarding requirements .
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Role Overview:
We are looking for highly observant, detail-driven
AI Data Trainers
to support a high-impact project evaluating
Gemini’s next-generation personalization capabilities . This work sits at the intersection of
AI, health data, user behavior, and digital wellness .
In this role, you will test how well AI can responsibly use private personal data from sources like
Gmail, Google Photos, Google Search, YouTube, Google Health, and wearable devices
to deliver experiences that are relevant, timely, accurate, and safe.
This opportunity is especially exciting for people with a strong interest in:
Fitness tracking and performance
Nutrition and healthy lifestyle coaching
Habit-building and wellness routines
Health-tech products and wearables
Personalized user experiences powered by AI
Key Responsibilities
Conduct multi-turn conversations with Gemini and compare model variants to assess response quality, tone, and contextual understanding.
Evaluate outputs for
grounding, personalization, safety, and accuracy , ensuring the model uses personal data 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 by identifying reasoning gaps, retrieval issues, and why one response performs better than another.
Requirements & Eligibility
Age & Eligibility
Must be 18+ years old and authorized to participate in data training projects.
Regional Availability
Must be located in and/or operate using en-US or en-IN language settings to ensure cultural and linguistic nuance.
Google Account Standards
Strict Requirement:
You must use your primary, daily-use personal Google account. We cannot accept testing or dummy accounts, as the model requires a rich, historical data footprint (Gmail, Photos, etc.) to perform personalization evaluations.
Hardware Ecosystem
Must possess and actively use a Fitbit device or Pixel Watch. This hardware is a mandatory prerequisite for the Health & Wellness integration testing.
Offer Details:
Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
Engagement type: Contractor
Engagement Length: 10 weeks
Evaluation Process
-
Shortlisted candidates will be sent a
Job Interest Form .
Shortlisted candidates will be contacted to discuss the
pre‑onboarding requirements .