Associate, ML Data Operations, GO-AI Operations

Amazon’s interview process usually consists of an online assessment or functional simulation followed by two to three virtual rounds focusing on behavioral questions aligned with the Leadership Principles and a technical/role‑specific interview. The difficulty is moderate; candidates should prepare clear STAR stories and practice data‑interpretation tasks. Being concise, structured and showing a customer‑first mindset are key to success.

Amazon promotes a high‑performance culture driven by its Leadership Principles, encouraging ownership, innovation and customer obsession. Employees enjoy clear growth pathways, frequent up‑skilling opportunities, and a collaborative environment, though the pace can be demanding. Work‑life balance is managed through flexible shift patterns and generous leave policies.

Bachelor's degree in any discipline (Engineering, Science, Commerce or Arts). Graduation batch between 2022 and 2025 is preferred. Must be legally eligible to work in India and have a reliable internet connection for remote work.

Round 1: Online Application Screening → Round 2: Functional Assessment (video auditing simulation) → Round 3: Technical/Behavioral Interview (focus on Amazon Leadership Principles) → Round 4: HR Discussion

Amazon is a global technology and e‑commerce leader that constantly innovates across retail, cloud computing, digital streaming and artificial intelligence. In India, Amazon operates a vast network of fulfillment centers, sortation hubs and last‑mile delivery stations, employing hundreds of thousands of people and offering a fast‑paced, customer‑obsessed work environment. The company’s culture revolves around its Leadership Principles, encouraging employees to think big, dive deep, and deliver results with a bias for action. Amazon’s commitment to diversity, inclusion and continuous learning makes it an attractive destination for fresh graduates looking to launch a career in a world‑class organization. The role of Associate, ML Data Operations – GO‑AI Operations is part of the Data Auditing Operations team that supports Amazon Robotics Fulfillment centers. Associates watch short video clips of stowing actions, verify product locations, and annotate any discrepancies. Their work feeds into machine‑learning models that automate stow quality checks, directly impacting inventory accuracy and operational efficiency. The position is contract‑based for six months, with the possibility of extension based on performance. While the role is non‑technical, it requires sharp visual perception, high attention to detail, and the ability to meet strict quality and productivity targets. Key responsibilities include: 1. Review 200‑300 short videos per shift and provide accurate location annotations. 2. Maintain a quality score of at least 95% while meeting productivity benchmarks. 3. Identify and flag blurry or ambiguous footage for further review. 4. Use the internal auditing tool to record findings and comments. 5. Adhere to predefined break schedules and ensure 6.8‑7 hours of active video auditing per day. 6. Work rotational shifts, including nights and weekends, as per business needs. 7. Keep a dedicated, well‑lit workspace when working from home and ensure data privacy. 8. Participate in virtual team meetings with camera on and collaborate with remote teammates. 9. Follow Amazon’s safety and security policies, especially when handling sensitive operational data. 10. Provide feedback to improve the auditing platform and processes. The tech stack is minimal – a web‑based auditing interface, standard office productivity tools, and a laptop with a webcam. Growth opportunities include moving into higher‑impact data‑labeling roles, quality‑control supervision, or transitioning to machine‑learning operations positions within Amazon’s AI divisions. Joining Amazon offers exposure to cutting‑edge automation, a chance to contribute to a massive supply‑chain operation, and a clear pathway for career advancement. Why join? Amazon’s relentless focus on customer obsession translates into a fast‑moving environment where every contribution matters. Freshers gain hands‑on experience with real‑world data, develop disciplined work habits, and build a resume that stands out in the tech industry. The role also provides a glimpse into Amazon’s AI‑driven future, making it an ideal stepping stone for aspiring data‑focused professionals.