Associate – ML Data Operations (GO-AI Operations)

About the Team GO-AI (Global Operations – Artificial Intelligence) team supports Amazon Robotics Fulfillment Centers by reviewing short videos/images to help maintain inventory accuracy and stow quality. Human auditing improves automation models used in FCs globally. Role Overview You will analyze short duration stowing activity videos/images and mark product placement with high accuracy, focus and speed. This data directly helps improve ML automation systems at Amazon. This is an operational role requiring repetitive visual analysis with targets in productivity and quality. Key Responsibilities - Watch and audit hundreds of short videos per shift - Validate and mark product placement using internal tools - Maintain accuracy on blurred / low-clarity videos using strong attention-to-detail - Follow KPIs: Accuracy + Productivity + Process adherence - Meet daily operational time goals (6.8–7 hrs of active work) - Work in rotational shifts, including nights/weekends - Attend virtual meetings with camera enabled - Report performance and participate in improvement initiatives - Maintain confidential workspace and data security at home Required Qualifications - Bachelor's degree in any discipline - Ability to focus on highly repetitive visual tasks - Comfortable with non-technical operations role - Excellent attention to detail and judgment skills - Ability to meet evolving performance goals Preferred Skills - Ability to work flexible schedules (nights/weekends/holidays) - Strong teamwork and communication skills - Stable internet and dedicated workspace for WFH Performance Expectations - High accuracy in data audits - Fast response rate on videos - Strong consistency and reliability - Capability to adapt to frequent shift changes Workplace Notes - Night shift allowance as per Amazon policy - Rotational days off (not necessarily Sat–Sun) - Occasional office visits may be required

Amazon is seeking talented individuals to join their team. This is an excellent opportunity to work with a dynamic organization and contribute to exciting projects.