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Associate, ML Data Operations, GO-AI Operations [Data Auditing Operator / Video Reviewer]
Amazon Dev Center India
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Job Description
Amazon Dev Center India is seeking an execution-driven, highly focused Associate, ML Data Operations, GO-AI Operations to join our robotics fulfillment enablement division in a fully virtual capacity (available across Hyderabad, Bangalore, Chennai, Mumbai, or Andhra Pradesh) . Operating on a 6-month contract baseline, this data annotation tier works at the terminal interface of computer vision tech—performing heavy visual tracking, image auditing, and video reviews to boost model accuracy and protect inventory stow quality globally .
Key Responsibilities & Scope of Work
- High-Volume Video Auditing: Review hundreds of short fulfillment center videos (15-20 seconds) per shift, utilizing sharp human judgment to tag and verify exact inventory placement locations .
- Defect Minimisation Tracker: Apply intense focus on screen surfaces to identify inventory details from blurry, low-sharpness imagery, correcting database variances quickly .
- SLA Productivity Scaling: Meet strict daily performance metrics, ensuring 6.8 to 7 hours of direct processing time is delivered consistently across shift profiles .
- 24x7 Ecosystem Engagement: Maintain operational flexibility to navigate a 9-hour rotational shift floor plan—including night shifts, weekends, and changing schedules .
- Privacy Governance Guardrails: Protect corporate assets by ensuring no unverified third-party individuals gain line-of-sight exposure to internal processing screens or video logs .
Required Qualifications & Technical Stack
- Educational Foundation: Holds a valid graduation degree across any academic stream from an accredited university environment .
- Contract Commitment Stability: Absolute willingness to dedicate full focus to a 6-month operational, non-technical project cycle .
- Software Productivity Toolkit: Baseline comfort operating corporate laptops, navigating web-based annotation platforms, and activating video systems for team meetings .
- Preferred Value-Adds: Prior exposure navigating fast-paced target queues, remote operational teamwork histories, or flexible availability across holidays and late shifts .
- Core Soft Skills: Meticulous attention to detail under fatigue, high consistency, readiness to visit physical offices occasionally if prompted, and cooperative team habits .
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