Associate, ML Data Operations, GO-AI Operations

Amazon's interview process typically consists of an initial screening, followed by one or two technical rounds that test data‑annotation logic, attention to detail, and problem‑solving, and a final behavioral round focused on Leadership Principles. The difficulty is moderate; preparation should include practicing video‑analysis scenarios and mastering STAR responses for behavioral questions.

Round 1: Online assessment or screening questionnaire → Round 2: Technical/role‑play interview focusing on data annotation and problem‑solving → Round 3: Behavioral interview based on Amazon Leadership Principles → HR round for compensation and joining formalities

Amazon promotes a fast‑paced, merit‑based culture where employees are encouraged to think big and act with ownership. Career growth is driven by performance, and the company offers extensive learning resources and internal mobility. While the workload can be intense, Amazon provides clear metrics, regular feedback, and benefits such as flexible shift allowances.

Bachelor's degree in any discipline with minimum 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Fresh graduates from 2024‑2026 batches are preferred. Must be legally eligible to work in India and able to commit to a 6‑month contract.

Amazon is a global e‑commerce and cloud‑computing giant that has built a reputation for relentless customer obsession, innovation, and operational excellence. In India, Amazon operates massive fulfillment centers, AI‑driven logistics networks, and a suite of digital services that touch millions of users daily. The company’s culture emphasizes ownership, data‑driven decision making, and a bias for action, making it a fertile ground for fresh talent to grow quickly. Amazon’s commitment to diversity and inclusion ensures that every employee, regardless of background, can contribute to its mission of being the Earth’s most customer‑centric company. The role of Associate, ML Data Operations – GO‑AI Operations is part of the Data Auditing Operations team that supports Amazon Robotics fulfillment centers. As an associate, you will watch short video clips of stowing actions, interpret the visual data, and accurately mark product locations using internal tools. Your work directly influences the quality of automated stow processes, helping to reduce errors and improve inventory accuracy across Amazon’s fulfillment network. This is a contract position of six months, with the possibility of remote work, but occasional on‑site presence may be required. Key Responsibilities: 1. Review hundreds of 15‑20 second video clips per shift and annotate product placement accurately. 2. Maintain high quality scores by adhering to predefined accuracy and productivity targets. 3. Identify details in low‑resolution or blurry videos using keen observation skills. 4. Follow rotational shift schedules, including night shifts, and take mandatory breaks. 5. Ensure a dedicated, distraction‑free workspace when working from home. 6. Switch on laptop camera during virtual meetings and collaborate with remote teammates. 7. Meet incremental performance goals for quality and speed. 8. Provide feedback to the automation team to improve AI models. 9. Comply with Amazon’s data security and confidentiality policies. 10. Attend periodic training sessions and performance coaching. Tech Stack & Tools: The role primarily uses Amazon‑internal annotation platforms, video playback tools, and basic office productivity software. No deep programming knowledge is required, but familiarity with data labeling concepts and a comfort with Windows/macOS environments is beneficial. Growth Path: High‑performing associates can transition to full‑time roles in data science, operations management, or quality assurance within Amazon’s supply‑chain ecosystem. The exposure to AI‑driven processes provides a solid foundation for future roles in machine‑learning operations or robotics. Why Join Amazon? You will be part of a world‑class logistics operation, gain hands‑on experience with cutting‑edge AI auditing workflows, and develop a disciplined work ethic under Amazon’s leadership principles. The role offers competitive compensation, night‑shift allowances, and the chance to contribute directly to the efficiency of one of the largest fulfillment networks in the world.