AI Data Trainer (Fitness & Wellness Personalization - Gemini) at Gramian Consulting Group

, , India -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

0.0

Posted On

16 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Training, Data Annotation, Personalization Evaluation, Health & Wellness Domain Knowledge, Quality Assurance, Data Privacy, Structured Feedback, Analytical Thinking

Industry

IT Services and IT Consulting

Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for detail-oriented AI Data Trainers to evaluate how AI systems personalize responses using real user data. You will interact with AI models, assess outputs, and provide structured feedback — focusing on accuracy, safety, personalization quality, and correct use of personal data. This role is especially suited for candidates with a strong interest in fitness, nutrition, and digital health experiences. NOTE: must have either a Google Pixel device or a Fitbit watch (Apple Watch devices are not permitted) with at least 3 months of data recorded (activity, sleep, health, and similar). Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 10 weeks+ Location: INDIA Responsibilities Conduct multi-turn conversations with AI models and compare response quality across variants Evaluate outputs for: Accuracy and grounding Personalization quality Safety and responsible data usage Test predefined health & wellness scenarios (fitness, activity tracking, nutrition, habits) Identify issues such as: Incorrect personalization Hallucinations or reasoning gaps Data misuse or privacy risks Provide clear, structured feedback and evaluation notes Maintain consistency and attention to detail across repeated evaluations Must be 18+ years old Previous experience in AI training, data annotation, and similar is a big plus Must operate using en-IN language settings (India-based context required) Must use a primary, actively used personal Google account (with real usage history) Must own and actively use a Fitbit device or Pixel Watch

Responsibilities

Evaluate AI model responses for accuracy, safety, and personalization quality using real user health data. Conduct multi-turn conversations to identify hallucinations, reasoning gaps, and data misuse in fitness and wellness scenarios.