Associate, ML Data Operations, GO-AI Operations

Amazon's interview process typically consists of an initial online assessment or screening, followed by a functional interview that tests your understanding of annotation guidelines, attention to detail, and scenario‑based problem solving. The final HR round evaluates cultural fit, communication skills, and remote‑work readiness. Candidates should prepare with the STAR method, focus on clear, concise answers, and demonstrate a data‑quality mindset.

Round 1: Online assessment or screening questionnaire → Round 2: Functional interview focusing on annotation processes, quality standards and scenario handling → Round 3: HR interview covering cultural fit, work‑from‑home logistics and compensation.

Amazon promotes a high‑performance culture where employees are encouraged to think big, innovate and own their outcomes. The company offers clear career ladders, mentorship programs, and a strong emphasis on work‑life balance through flexible shift patterns and remote work options.

Bachelor's degree in any discipline with minimum 60% aggregate (or CGPA 6.0/10). Fresh graduates from 2023, 2024, 2025 or 2026 batches are eligible. No active backlogs at the time of joining. Must have reliable internet (≥20 Mbps) and a dedicated workspace at home.

Amazon is a global technology leader that has reshaped e‑commerce, cloud computing, digital streaming, and artificial intelligence. Within Amazon, the Robotics division builds cutting‑edge robots that power fulfillment centers worldwide, enabling faster, safer, and more efficient order processing. The Global Operations – Artificial Intelligence (GO‑AI) team fuels this transformation by providing high‑quality data that trains the machine‑learning models behind robot perception, manipulation, and navigation. Working at Amazon means being part of a culture that prizes customer obsession, invention, and long‑term thinking, while offering employees the chance to work on products that impact millions of people every day. The role of Associate, ML Data Operations is a non‑technical, operational position focused on Human‑in‑the‑Loop data annotation for Amazon Robotics. As an associate you will work from a dedicated home workspace, labeling images, videos and text that describe packaging innovations, object handling, storage layouts and sortation processes. Your annotations will directly influence the accuracy of computer‑vision models that enable robots to see, grasp, and move items with precision. The job follows a 9‑hour shift schedule with rotational days off and offers night‑shift allowance where applicable. A one‑week structured training program will equip you with the required annotation tools and quality standards before you start handling live projects. Key responsibilities include: 1. Perform precise image, video and text annotations such as object detection, semantic segmentation, object tracking and open‑text evaluation across multiple robotics programs. 2. Maintain high accuracy and productivity metrics by following detailed guidelines and performing regular quality checks. 3. Identify ambiguous cases, flag inconsistencies, and propose logical solutions to improve annotation guidelines. 4. Quickly learn and adapt to various specialized annotation platforms (e.g., Labelbox, CVAT, VGG Image Annotator) and switch between projects as business needs evolve. 5. Document annotation decisions and maintain clear records to support model training audits. 6. Collaborate with remote, multicultural teams, sharing insights and best practices to uplift overall data quality. 7. Participate in periodic performance reviews and contribute ideas for process automation and efficiency. 8. Ensure data security by keeping all workspace and annotated data confidential and accessible only to authorized personnel. 9. Adhere to shift schedules, break timings and rotational off‑days while maintaining consistent productivity. 10. Provide feedback during training sessions to help refine future onboarding programs. Tech stack: The role primarily uses annotation tools such as Labelbox, CVAT, VGG Image Annotator, and basic office productivity suites (MS Office, Google Workspace). Familiarity with file formats like JPEG, PNG, MP4, and JSON is beneficial. While programming is not required, a basic understanding of computer‑vision concepts helps in interpreting guidelines. Growth path: Starting as an Associate, you can progress to Senior Data Associate, Team Lead, or Quality Assurance Specialist within the GO‑AI Operations vertical. High performers may transition to full‑time roles, move into data‑science support functions, or explore product‑management tracks within Amazon Robotics. Why join Amazon? You will be part of a world‑renowned organization that invests heavily in AI and robotics, offering exposure to state‑of‑the‑art technology without needing a technical degree. The remote‑first model provides flexibility, while Amazon’s comprehensive benefits, learning resources, and clear career ladders ensure long‑term professional growth.