ML Data Associate I

Amazon’s interview process typically starts with an online assessment covering quantitative aptitude and logical reasoning, followed by a technical interview that evaluates your ability to follow SOPs, annotate data accurately, and communicate clearly. The final HR round focuses on behavioral questions aligned with Amazon’s Leadership Principles. Candidates should practice structured problem solving, demonstrate attention to detail, and showcase examples of teamwork and ownership.

Amazon promotes a high‑performance culture where leaders are expected to think big, dive deep, and earn trust. Employees enjoy clear growth ladders, frequent learning opportunities, and a focus on work‑life balance through flexible shift options. The company’s emphasis on customer obsession and innovation creates an environment where fresh ideas are valued and rewarded.

Bachelor's degree in any discipline with minimum 60% aggregate; fluent in reading, writing and speaking English; no active backlogs; graduating batch 2023‑2027 (or recent graduate); must be eligible to work in India; familiarity with Microsoft Office; willingness to work flexible shifts including weekends and holidays.

Round 1: Online assessment (aptitude & logical reasoning) → Round 2: Technical interview (annotation tools, problem‑solving, communication) → Round 3: HR interview (behavioral, cultural fit)

Amazon, founded in 1994, has grown into a global technology leader that reshapes how people shop, consume media, and interact with devices. In India, Amazon operates across e‑commerce, cloud services (AWS), digital streaming, and a rapidly expanding portfolio of smart devices. The company’s culture of customer obsession, invention, and operational excellence has made it one of the most sought‑after employers for fresh talent, offering exposure to cutting‑edge technologies and a fast‑paced work environment. Amazon’s Consumer Robotics and Smart Device divisions focus on building AI‑powered products such as Echo, Ring, and Astro, which blend computer vision, voice recognition, and edge computing to deliver seamless experiences. The role of ML Data Associate I is a 11‑month direct‑contract position that sits at the heart of Amazon’s machine‑learning pipeline. As a data associate, you will be responsible for creating high‑quality ground‑truth data that fuels the training of computer‑vision, audio, and natural‑language models used in Amazon’s smart devices. You will work with internal annotation tools, follow detailed SOPs, and collaborate with cross‑functional teams to ensure data integrity and compliance. This position is ideal for recent graduates who have strong language skills, a keen eye for detail, and an interest in AI/ML applications. Key responsibilities include: 1. Perform annotation tasks on audio, image, video, and text datasets according to precise guidelines. 2. Execute repetitive exercises while maintaining high quality and meeting daily productivity targets. 3. Apply strong grammar and linguistic knowledge to ensure text annotations are accurate. 4. Follow procedural and compliance requirements for each new task release. 5. Track task completion status and generate individual status reports. 6. Conduct quality audits and verification activities to uphold internal standards. 7. Capture and report results, escalating issues promptly through defined channels. 8. Raise and resolve failures, doubts, and queries in the portal within SLA limits. 9. Manage dependencies and own daily targets to ensure timely delivery. 10. Participate in testing new SOPs and ML data tools, providing feedback for process improvement. Tech stack primarily involves Amazon‑built annotation platforms, data capture systems, and Microsoft Office for reporting. Familiarity with basic scripting (Python) or data‑labeling frameworks can be advantageous but is not mandatory. Growth path: Successful associates can progress to senior data annotation roles, ML Data Analyst, or transition into broader data‑science and engineering positions within Amazon’s AI teams. The exposure to real‑world ML pipelines provides a solid foundation for a long‑term career in artificial intelligence. Why join Amazon? You will work on products that reach millions of customers worldwide, gain hands‑on experience with AI data pipelines, and benefit from Amazon’s robust learning resources, mentorship programs, and clear career progression. The contract also offers a competitive salary, comprehensive benefits, and the chance to be part of a globally recognized brand that values innovation and diversity.