Job Title

Company Description MillionLogics is a trusted Oracle Partner and global IT solutions provider with offices in London, UK, and a development hub in Hyderabad, India. Specialising in scalable and future-ready IT solutions, MillionLogics empowers organisations to leverage Data & AI, streamline Cloud migrations, and optimise enterprise applications. With deep expertise in Oracle Cloud and database technologies, we're committed to innovation and delivering tangible results. Backed by a team of over 55 technology experts, MillionLogics offers services ranging from IT consulting and development to security and enterprise application solutions. Discover more about our services here: Role Description We are looking for highly observant, detail-driven AI Data Trainers to support a high-impact project evaluating Gemini’s next-generation personalisation capabilities. This work sits at the intersection of AI, health data, user behaviour, 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 - Personalised user experiences powered by AI Offer Details: Contract Duration: 12 months Pay: INR 60K (net/take-home) Mode of Work: FULLY REMOTE Key Responsibilities - Conduct multi-turn conversations with Gemini and compare model variants to assess response quality, tone, and contextual understanding. - Evaluate outputs for grounding, personalisation, 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. Age & Eligibility: - Must be 18+ years old and authorised to participate in data training projects. - Regional Availability - Must be located in and/or operate using 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 personalisation 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 up to 40 hours per week, with 4 hours of overlap with PST. - Engagement type: Contractor How to Apply: Please send us your updated CV to CV@ with Job ID: Fitness in your email subject.