Associate, ML Data Operations, GO-AI Operations

Amazon's interview process typically starts with an online screening test or questionnaire, followed by a functional interview that assesses your ability to audit videos, maintain accuracy, and handle shift work. The final HR round focuses on cultural fit, availability for rotational shifts, and compensation. Candidates should practice attention‑to‑detail exercises and be ready to discuss real‑world examples of handling repetitive tasks efficiently.

Amazon Dev Center India fosters a fast‑paced, data‑driven culture where employees are encouraged to think big and innovate daily. Career growth is supported through internal mobility, mentorship programs, and regular performance reviews. While the work can be intense, Amazon offers flexible shift options, night‑shift allowances, and a focus on work‑life balance through clearly defined break schedules.

Bachelor's degree in any discipline with minimum 60% aggregate (or equivalent CGPA). No active backlogs at the time of joining. Fresh graduates from the 2025, 2026 or 2027 batch are preferred. Candidates must be legally eligible to work in India and have reliable internet connectivity for remote work if applicable.

Round 1: Online screening questionnaire or basic aptitude test → Round 2: Functional interview focusing on video auditing, attention to detail, and shift‑work suitability → Round 3: HR interview covering cultural fit, availability for rotational shifts, and compensation discussion

Amazon is a global technology leader that has built a reputation for relentless customer focus, innovation, and operational excellence. In India, Amazon operates a vast network of fulfillment centers, data centers, and development hubs that power everything from e‑commerce to cloud services. The Amazon Development Center in Hyderabad (A85) is a key hub for building cutting‑edge solutions that improve warehouse automation, AI‑driven logistics, and customer experience. Employees at the Hyderabad centre enjoy access to world‑class infrastructure, a multicultural workforce, and a culture that encourages experimentation and rapid learning. The role of Associate, ML Data Operations, GO‑AI Operations is an operational position that sits at the intersection of machine learning, data quality, and warehouse automation. As an associate, you will be responsible for watching short video clips of stowing actions captured inside Amazon fulfillment centers, interpreting the visual information, and accurately marking product locations using specialized annotation tools. Your work directly feeds into Amazon’s AI models that aim to achieve hands‑free, error‑free stowing, thereby improving inventory accuracy and reducing operational defects. Key responsibilities include: - Watching 200‑300 video clips per shift and providing precise annotations on product placement. - Maintaining high accuracy (quality) while meeting productivity targets (speed). - Identifying details in low‑quality or blurry videos and making correct judgments. - Using the internal annotation platform to mark locations and add relevant metadata. - Adhering to predefined break schedules and ensuring 6.8‑7 hours of active video auditing per day. - Working rotational shifts, including night shifts, and being flexible to schedule changes every 3‑4 months. - Ensuring a dedicated, distraction‑free workspace when working from home, with proper lighting and equipment. - Switching on laptop camera for virtual meetings and complying with data‑security policies. - Collaborating with remote teammates, sharing best practices, and participating in performance coaching sessions. - Reporting any tool issues or process bottlenecks to the operations lead. Tech stack: The role primarily uses Amazon’s proprietary video annotation tools, basic Windows/macOS operating systems, and standard office productivity software. Familiarity with Python or other scripting languages is a plus but not mandatory. Growth path: High performers can transition to senior data‑auditing roles, quality‑control leads, or move into more technical positions such as ML data labeler, QA analyst, or operations manager within Amazon’s logistics ecosystem. Continuous learning opportunities, internal training programs, and exposure to cutting‑edge AI projects make this a launchpad for a long‑term career at Amazon. Why join Amazon? You will be part of a mission‑driven organization that directly impacts millions of customers worldwide. The role offers a stable six‑month contract with the possibility of extension, competitive compensation, night‑shift allowances, and the chance to work with world‑class AI teams. Amazon’s commitment to diversity, inclusion, and employee well‑being ensures a supportive environment where fresh talent can thrive.