Associate, ML Data Operations, GO-AI Operations

Amazon's interview process typically consists of an online assessment followed by two to three virtual interviews. The first interview focuses on role‑specific tasks such as video annotation simulations, while subsequent rounds assess leadership principles and cultural fit. Questions are scenario‑based, testing analytical thinking, attention to detail, and ability to handle ambiguous situations. Preparing with mock audits and reviewing Amazon's Leadership Principles greatly improves chances.

Round 1: Online assessment or situational judgement test → Round 2: Role‑specific interview (video auditing simulation and behavioral questions) → Round 3: HR interview (culture fit, compensation, availability)

Amazon promotes a high‑performance culture where employees are encouraged to think big, innovate, and own outcomes. The company offers clear career ladders, regular feedback, and a merit‑based reward system, while also providing flexibility through virtual work options. Work‑life balance is managed through defined shift patterns and generous leave policies, though the fast‑paced environment demands strong focus and adaptability.

Bachelor's degree in any discipline (Engineering, Science, Commerce, Arts, etc.) with a minimum of 60% aggregate or CGPA 6.0/10. No active backlogs at the time of joining. Fresh graduates from the 2023, 2024, 2025 or 2026 batches are eligible. Must have a reliable internet connection, a quiet dedicated workspace, and be legally authorized to work in India.

Amazon, founded in 1994, has grown into one of the world’s most valuable technology companies, offering a vast ecosystem of e‑commerce, cloud computing, digital streaming, and artificial intelligence services. In India, Amazon operates a network of fulfillment centers, logistics hubs, and AI‑driven research labs, employing hundreds of thousands of people across the country. The company’s culture is built around customer obsession, innovation, and long‑term thinking, encouraging employees to take ownership and deliver results at scale. As part of its relentless push for operational excellence, Amazon continuously invests in automation and data‑driven decision making to improve inventory accuracy and speed of delivery. The role of Associate, ML Data Operations – GO‑AI Operations is a contract position (6 months) that sits within the Data Auditing Operations team. The team provides human‑in‑the‑loop validation for short video clips captured during the stowing process in Amazon Robotics fulfillment centers. Associates watch each 15‑20 second video, interpret the stow action, and mark the exact product location using a proprietary tool. Their judgments feed into machine‑learning models that eventually enable hands‑free, fully automated stowing. The position is fully remote (virtual) but requires a dedicated workspace, a stable internet connection, and the ability to turn on a webcam for virtual meetings. Key responsibilities include: 1. Review and audit several hundred stow videos per shift with a focus on accuracy and speed. 2. Identify product placement details even in low‑quality or blurry footage. 3. Use the internal annotation tool to mark product locations precisely. 4. Meet daily quality (accuracy) and productivity (videos per hour) targets. 5. Adhere to pre‑defined break schedules and ensure 6.8‑7 hours of active video auditing per day. 6. Work rotational shifts, including night shifts, and be flexible to shift changes every 3‑4 months. 7. Maintain a clean, private workspace and ensure data confidentiality. 8. Participate in virtual team meetings, keeping the webcam on when required. 9. Provide feedback to improve the auditing platform and processes. 10. Occasionally report to a physical office for onboarding or training sessions. Tech stack: The role does not require programming skills but familiarity with basic Windows/macOS environments, web‑based annotation tools, and video playback software is essential. A high‑speed internet connection and a webcam are mandatory. Growth path: High‑performing associates may receive extensions, transition to full‑time operations roles, or move into data‑quality analyst positions that involve deeper interaction with machine‑learning pipelines. Amazon also offers internal mobility programs, allowing employees to explore roles in logistics, supply‑chain analytics, or AI research. Why join Amazon? You get to work on cutting‑edge automation projects that directly impact millions of customers, gain exposure to large‑scale data operations, and develop a disciplined work ethic in a fast‑paced environment. The contract also provides a foot‑in‑the‑door to one of the world’s most respected tech giants, with opportunities for future full‑time conversion and internal career moves.