ML Data Associate I

Amazon’s interview process typically consists of an initial screening, followed by one or two technical rounds that test data‑annotation aptitude, logical reasoning and basic coding. The final HR round evaluates cultural fit against Amazon’s Leadership Principles. Candidates should practice clear, concise communication, back their answers with examples, and be ready for scenario‑based questions.

Amazon promotes a high‑velocity, data‑driven work culture where ownership and customer obsession are core values. Employees enjoy clear career ladders, frequent learning programs, and the freedom to experiment. While the pace can be intense, the company offers flexible work arrangements and a supportive environment for personal growth.

Bachelor's degree in any discipline with minimum 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Fresh graduates from 2025, 2026 or 2027 batches are preferred. Strong proficiency in spoken, written and read English is mandatory.

Round 1: Online assessment or screening questionnaire → Round 2: Technical/annotation task interview → Round 3: HR interview focusing on cultural fit and compensation.

Amazon is one of the world’s most customer‑obsessed companies, operating at a scale that touches millions of lives every day. Headquartered in Seattle, the company has a massive presence in India through its development centres, fulfillment networks and retail operations. Amazon’s Indian workforce is known for its fast‑paced, data‑driven culture where innovation is encouraged and every employee is empowered to think big. The firm invests heavily in emerging technologies such as artificial intelligence, computer vision, and voice assistants, building products that make everyday tasks easier and safer for customers. The role of an ML Data Associate I is a gateway for fresh graduates to step into the world of machine learning data pipelines. As a member of the Alexa Devices team, you will work on creating high‑quality ground‑truth data that powers Amazon’s smart devices – from Echo speakers to Ring cameras. Your day‑to‑day work will involve annotating audio, image, video and text files according to detailed SOPs, ensuring that the data fed to training models is accurate, consistent and bias‑free. You will also get exposure to internal annotation tools, quality‑audit processes, and cross‑functional collaboration with data scientists and product managers. Key responsibilities include: 1. Perform annotation tasks across multiple modalities (audio, image, video, text) following precise guidelines. 2. Execute repetitive exercises while maintaining high quality and meeting daily productivity targets. 3. Apply strong language skills to ensure textual annotations are grammatically correct and contextually appropriate. 4. Follow SOPs, compliance requirements and report any ambiguities or failures through the internal portal. 5. Track task completion status and generate daily status reports for stakeholders. 6. Conduct quality audits and verification activities to uphold internal standards. 7. Communicate issues promptly and collaborate with the team to resolve blockers. 8. Participate in testing new SOPs and annotation tools, providing feedback for continuous improvement. 9. Adhere to confidentiality and data‑security policies to protect customer information. 10. Manage dependencies and own end‑to‑end delivery of assigned work packages. Tech Stack: The role primarily uses Amazon‑built annotation platforms, Microsoft Office suite for reporting, and basic scripting knowledge (Python) for data handling. Familiarity with AWS services such as S3 for data storage is a plus. Growth Path: Starting as an ML Data Associate I, high performers can move to senior annotation roles, data quality leads, or transition into data‑science and machine‑learning engineering tracks after gaining domain expertise. Why Join Amazon? You will be part of a global leader that offers unparalleled learning opportunities, exposure to cutting‑edge AI products, and a culture that rewards ownership and innovation. The 11‑month contract provides a solid foothold in the tech industry, with the possibility of conversion to a permanent role based on performance.