ML Data Associate I

Amazon’s interview process typically starts with an online assessment focusing on quantitative aptitude, logical reasoning, and basic data interpretation. Successful candidates move to a technical interview that evaluates problem‑solving abilities, understanding of annotation workflows, and attention to detail. The final HR round assesses cultural fit through behavioral questions based on Amazon’s Leadership Principles. Preparation should include mock tests, reviewing annotation guidelines, and practicing STAR‑format responses.

Amazon promotes a high‑performance culture where ownership and customer obsession are core values. Employees enjoy clear growth ladders, frequent learning opportunities, and a supportive environment that encourages experimentation. While the pace can be fast, the company emphasizes work‑life balance through flexible schedules and remote‑work options where applicable.

Bachelor's degree in any discipline with a minimum of 60% aggregate (or CGPA 6.0/10). Open to all engineering, science, commerce, and arts streams. Fresh graduates from the 2023, 2024, or 2025 batches are eligible. No active backlogs at the time of joining. Must be fluent in reading, writing, and speaking English.

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

Amazon is one of the world’s most customer‑obsessed companies, operating at a massive scale across e‑commerce, cloud computing, digital streaming, and smart devices. In India, Amazon has built a robust ecosystem of fulfillment centers, technology hubs, and research labs that power everything from the Alexa voice assistant to the latest AI‑driven security cameras. The company’s relentless focus on innovation, operational excellence, and a culture of ownership makes it a premier destination for fresh talent looking to make a tangible impact. The role of an ML Data Associate I sits at the heart of Amazon’s smart‑device division. As a data associate, you will be responsible for generating high‑quality ground‑truth annotations that train the machine‑learning models powering devices such as Ring cameras, Echo speakers, and other IoT products. The position is an 11‑month direct‑contract engagement, offering hands‑on exposure to real‑world AI pipelines, internal annotation tools, and cross‑functional collaboration with data scientists, product managers, and engineering teams. Key responsibilities include: 1. Perform annotation tasks on audio, image, video, and text datasets following detailed SOPs. 2. Execute repetitive exercises while maintaining strict quality standards using Amazon‑provided software tools. 3. Apply strong English language skills to ensure grammatical correctness and appropriate syntax. 4. Follow procedural guidelines, compliance requirements, and data‑privacy policies for each task. 5. Meet daily productivity and quality targets, logging progress in the internal portal. 6. Conduct quality audits and verification activities to sustain internal standards. 7. Capture and report results accurately, escalating issues through defined channels. 8. Raise and resolve failures, doubts, or queries within stipulated SLAs. 9. Own daily targets, manage dependencies, and ensure timely completion of assignments. 10. Participate in testing new SOPs and ML data tools, providing actionable feedback. Tech Stack: The role primarily uses Amazon’s proprietary annotation platforms, Microsoft Office suite for reporting, and basic scripting (Python) for data validation. Familiarity with cloud storage (S3) and version‑control concepts is beneficial. Growth Path: Successful associates can transition to full‑time roles such as ML Data Engineer, Quality Analyst, or Product Specialist within Amazon’s AI/ML divisions. The exposure to large‑scale data pipelines and cross‑functional teams accelerates career progression. Why Join Amazon? You will work on cutting‑edge AI products that reach millions of customers, receive mentorship from industry leaders, and benefit from Amazon’s world‑class learning resources. The contract also offers a competitive salary, flexible work hours, and a chance to be part of a culture that values invention, bias for action, and customer obsession.