Associate, ML Data Operations, GO-AI Operations

Amazon’s interview process typically consists of a screening call, followed by one or two virtual rounds that assess both behavioral (Leadership Principles) and role‑specific abilities. The difficulty is moderate; candidates should prepare STAR stories for behavioral questions and practice data‑annotation or analytical scenarios for this role. Clear communication, structured thinking, and demonstrating ownership are key to success.

Round 1: Online screening / resume shortlisting → Round 2: Telephonic/virtual interview focusing on role‑specific scenarios and behavioral questions → Round 3: HR discussion covering compensation, availability, and cultural fit

Amazon’s work culture emphasizes customer obsession, ownership, and a bias for action. Employees enjoy fast‑paced projects, clear performance metrics, and ample opportunities for internal mobility. While the environment is demanding, the company provides robust learning resources and a supportive network to help individuals grow.

Bachelor’s degree in any discipline with a minimum of 60 % aggregate (or CGPA ≥ 6.0). No active backlogs at the time of joining. Fresh graduates from the 2022‑2025 batches are preferred. Must be legally eligible to work in India and able to commit to a 6‑month contract with rotational shift timings.

Amazon, a global e‑commerce and cloud‑computing giant, has built a reputation for relentless customer obsession, innovation at scale, and a culture that encourages ownership and bias for action. In India, Amazon operates massive fulfillment networks, AI‑driven logistics, and a growing suite of services that touch millions of customers daily. The company’s commitment to technology‑enabled operations makes it a top destination for fresh graduates who want to contribute to real‑world, high‑impact projects from day one. 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, use a proprietary tool to annotate product locations, and ensure the highest level of accuracy. Your work directly feeds into Amazon’s automated stow quality system, helping to reduce errors, improve inventory accuracy, and accelerate the robot‑assisted fulfillment process. **Key Responsibilities** 1. Review 200‑300 short (15‑20 sec) videos per shift and annotate product placement accurately. 2. Maintain quality targets (≥ 95 % accuracy) while meeting productivity benchmarks. 3. Identify and flag blurry or ambiguous footage, providing clear corrective notes. 4. Follow predefined break schedules and ensure 6.8‑7 hours of active video auditing per day. 5. Work rotational shifts, including nights and weekends, as per business needs. 6. Maintain a dedicated, distraction‑free workspace when working from home and ensure data confidentiality. 7. Switch on laptop camera for virtual meetings and adhere to Amazon’s security policies. 8. Collaborate with remote teammates, share best practices, and participate in periodic performance coaching. 9. Adapt quickly to incremental targets on quality and speed set by the operations lead. 10. Attend occasional on‑site days at the fulfillment center when required. **Tech Stack & Tools**: The role does not require deep programming skills but uses Amazon‑internal annotation tools, video playback software, and basic spreadsheet reporting. Familiarity with Windows OS, internet browsers, and a reliable internet connection is essential. **Growth Path**: High performers can transition to senior data‑annotation roles, quality‑lead positions, or move into analytics, ML‑training data engineering, or operations management tracks within Amazon’s vast ecosystem. **Why Join Amazon?** - Work on a mission‑critical function that directly impacts millions of customers. - Gain exposure to cutting‑edge robotics and AI systems used in world‑class fulfillment centers. - Benefit from Amazon’s structured learning programs, mentorship, and clear career ladders. - Enjoy competitive compensation, comprehensive benefits, and a culture that rewards ownership and innovation.