Associate, ML Data Operations, GO-AI Operations

Amazon’s interview process typically consists of an initial online assessment followed by one or two virtual interviews focusing on functional abilities and behavioral fit. The functional round may include a short video‑annotation exercise to gauge attention to detail, while the behavioral round evaluates alignment with Amazon’s leadership principles. Candidates should prepare with clear STAR stories and practice quick decision‑making under time constraints.

Amazon promotes a high‑performance culture where ownership, bias for action, and customer obsession are core values. Employees enjoy clear career ladders, frequent learning opportunities, and a supportive environment that encourages innovation. While the pace can be fast, Amazon provides resources for work‑life balance, including flexible shift options and comprehensive benefits.

Bachelor's degree in any discipline (Engineering, Science, Commerce, Arts) with minimum 60% aggregate or equivalent CGPA; no active backlogs at the time of joining; graduating batch 2023‑2026 (or recent graduates); must be legally eligible to work in India; willingness to work flexible shifts including nights and weekends.

Round 1: Online assessment or screening questionnaire → Round 2: Functional interview (video auditing simulation & situational questions) → Round 3: HR interview (culture fit, compensation, availability)

Amazon is a global e‑commerce and technology leader that has reshaped retail, cloud computing, digital streaming, and artificial intelligence. In India, Amazon operates massive fulfillment networks, invests heavily in robotics, and continuously innovates to deliver faster, more reliable service to millions of customers. The company’s culture of customer obsession, ownership, and long‑term thinking creates an environment where fresh talent can grow quickly, work on high‑impact projects, and collaborate with world‑class engineers and product managers. 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 (15‑20 second) videos of stowing actions, use a specialized tool to verify product placement, and flag any discrepancies. Their human judgement feeds back into Amazon’s automation pipelines, improving the accuracy of robotic stow and reducing inventory errors. This is a contract position (6 months) with a full‑time schedule, primarily remote, but occasional on‑site days may be required. Key Responsibilities: 1. Review several hundred short videos per shift and accurately mark product locations using the provided interface. 2. Maintain high quality (accuracy) while meeting productivity targets set for each shift. 3. Identify details in blurry or low‑resolution videos and make correct decisions. 4. Follow predefined break schedules and ensure 6.8‑7 hours of active video auditing per day. 5. Work rotational shifts, including night shifts, and adapt to schedule changes every 3‑4 months. 6. Keep a dedicated, distraction‑free workspace with proper lighting and a functional laptop camera for virtual meetings. 7. Communicate any process improvements or recurring issues to the team lead. 8. Adhere to Amazon’s data security and confidentiality policies at all times. 9. Participate in periodic performance reviews and coaching sessions. 10. Be ready to attend the office for a few days when required by the business. Tech Stack & Tools: The role does not require deep technical expertise, but familiarity with web‑based annotation tools, basic spreadsheet operations, and video playback software is essential. Knowledge of Amazon internal platforms (e.g., internal ticketing, data dashboards) is a plus. Growth Path: High‑performing associates can be considered for full‑time roles in data operations, quality assurance, or even transition into entry‑level analyst positions within Amazon’s supply‑chain or AI teams. The exposure to real‑time data pipelines and robotics workflows provides a solid foundation for future technical or managerial roles. Why Join Amazon? You will be part of a cutting‑edge logistics ecosystem, gain hands‑on experience with AI‑driven automation, and work in a culture that rewards ownership and continuous learning. The contract offers a competitive salary, night‑shift allowance, and the chance to make a tangible impact on Amazon’s fulfillment efficiency.