ML Data Associate I

Amazon’s interview process usually starts with an online assessment focusing on quantitative aptitude and logical reasoning. Successful candidates move to a functional interview that tests domain knowledge in data annotation, quality checks, and scenario handling, followed by an HR round that evaluates cultural fit and communication skills. The interviews are moderately challenging; preparation should focus on Amazon’s leadership principles, clear articulation of past experiences, and practicing annotation‑related tasks.

Amazon promotes a high‑performance culture where ownership, bias for action, and customer obsession are core values. Employees enjoy fast‑paced projects, clear growth pathways, and a supportive environment that encourages learning and innovation. While the workload can be demanding, the company offers flexible shift options and a strong emphasis on work‑life balance through various employee programs.

Bachelor's degree in any discipline with minimum 60% aggregate; fluent in spoken, written, and read English; no active backlogs at the time of joining; graduating batch 2024‑2026 (or recent graduates); proficiency in Microsoft Office applications.

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical/Functional Interview (annotation tools, quality scenarios) → Round 3: HR Interview (fit, culture, compensation discussion)

Amazon, founded in 1994, has grown from an online bookstore to a global technology powerhouse that spans e‑commerce, cloud computing (AWS), digital streaming, and cutting‑edge consumer devices. The company’s relentless focus on customer obsession, innovation, and long‑term thinking has made it one of the most admired workplaces worldwide. In recent years, Amazon has invested heavily in smart‑device ecosystems such as Echo, Ring, and Blink, leveraging artificial intelligence, computer vision, and edge computing to bring intuitive experiences to millions of households. The role of an ML Data Associate I is a critical entry‑point into Amazon’s machine‑learning pipeline. As a contract associate, you will work for 11 months on Amazon’s payroll, contributing to the creation of high‑quality ground‑truth data that powers the training and evaluation of AI models used in devices like security cameras, voice assistants, and smart sensors. The position offers a blend of repetitive, detail‑oriented tasks and opportunities to provide feedback on tooling and processes, making it ideal for candidates who enjoy structured work while being part of a larger innovation ecosystem. Key responsibilities include: 1. Annotating audio, image, video, and text files according to detailed SOPs to generate accurate ground‑truth data. 2. Executing repetitive exercises with dynamic instructions while maintaining stringent quality standards. 3. Applying strong language skills and grammar knowledge to ensure textual outputs are error‑free. 4. Following compliance, confidentiality, and data‑security guidelines at all times. 5. Meeting daily productivity and quality targets, and reporting status through internal dashboards. 6. Conducting quality audits and verification activities to uphold internal process standards. 7. Raising and resolving failures, doubts, or queries in the portal within defined SLAs. 8. Assisting in testing new SOPs and ML data tools, providing timely feedback for continuous improvement. 9. Managing dependencies and communicating effectively with stakeholders to ensure timely task completion. 10. Upholding Amazon’s zero‑risk policy for customer data. The tech stack revolves around Amazon‑built annotation platforms, basic scripting (Python) for data validation, and cloud services such as AWS S3 for storage. While the role does not require deep programming expertise, familiarity with data‑labeling tools and Microsoft Office is essential. Growth path: High performers can progress to Senior Data Associate, ML Data Specialist, or transition into data‑engineering or ML‑engineer roles within Amazon’s vast ecosystem. The exposure to real‑world AI pipelines provides a solid foundation for future technical careers. Why join Amazon? You get to work for a world‑renowned brand that values innovation, offers structured learning, and provides a clear career ladder. The 11‑month contract also includes Amazon’s employee benefits, competitive compensation, and the chance to contribute to products that impact millions of users daily.