ML Data Associate I

Round 1: Online assessment – aptitude and logical reasoning → Round 2: Technical interview – annotation tools, data quality concepts, scenario based questions → Round 3: HR interview – cultural fit, behavioural questions (Leadership Principles).

Amazon promotes a high‑performance culture built on its Leadership Principles, encouraging ownership, innovation and customer obsession. Employees benefit from clear growth pathways, frequent upskilling opportunities, and a collaborative environment. While the workload can be intense, the company offers flexible schedules and a focus on work‑life balance through remote‑friendly policies and employee support programs.

Amazon’s interview process typically starts with an online assessment that tests logical reasoning, data interpretation and basic coding. Successful candidates move to a technical interview focused on annotation tools, data quality concepts and scenario‑based problem solving. The final HR round evaluates cultural fit through questions aligned with Amazon’s Leadership Principles. Preparation should include practicing aptitude tests, reviewing annotation workflows, and articulating experiences that demonstrate ownership and bias for action.

Bachelor's degree in any discipline with minimum 60% aggregate (or CGPA 6.0/10); fluent in spoken, written and read English; proficient in Microsoft Office; no active backlogs at the time of joining; graduating batch 2026 (or recent graduates).

Amazon is a global leader in e‑commerce, cloud computing, digital streaming, and artificial intelligence. With a relentless focus on customer obsession, the company constantly innovates across hardware, software and services to make everyday life easier and more connected. In India, Amazon operates massive fulfillment networks, invests heavily in technology hubs, and runs a thriving ecosystem of consumer devices such as Echo, Ring and Fire TV. The company’s culture emphasizes ownership, bias for action, and a data‑driven mindset, allowing employees to work on products that impact millions of users worldwide. The role of ML Data Associate I is part of Amazon’s Consumer Robotics and Smart Devices division, where machine‑learning models power features like voice recognition, computer‑vision based security, and predictive analytics. As a data associate, you will be the bridge between raw multimedia content and high‑quality training data that fuels these models. Your day‑to‑day work will involve annotating audio, image, video and text files according to detailed SOPs, ensuring linguistic accuracy, and maintaining strict quality standards. You will also help test new annotation tools, provide feedback to improve workflows, and collaborate with cross‑functional teams to meet daily productivity targets. **Key Responsibilities** 1. Perform annotation tasks on audio, image, video, and text data using internal tools. 2. Follow dynamic instructions and SOPs to generate accurate ground‑truth labels. 3. Apply strong English language skills to ensure grammatical correctness. 4. Track daily task completion, meet productivity and quality benchmarks. 5. Conduct quality audits and verification to uphold data integrity. 6. Report issues, raise queries, and escalate failures through the designated portal. 7. Participate in testing of new SOPs and ML data collection tools. 8. Maintain confidentiality and compliance with data security policies. 9. Communicate status updates and collaborate with stakeholders to resolve blockers. 10. Adhere to organizational processes while managing internal and external dependencies. **Tech Stack & Tools**: Amazon internal annotation platforms, Microsoft Office suite, basic scripting for data validation, and familiarity with cloud storage (S3) is advantageous. **Growth Path**: High performers can progress to Senior Data Associate, ML Data Quality Analyst, or move into data‑science and product‑management tracks within Amazon’s AI/ML divisions. The role offers exposure to cutting‑edge AI technologies and a clear ladder for skill development. **Why Join Amazon?** Amazon provides a fast‑paced environment where fresh talent can contribute to products used by millions. The 11‑month contract offers full‑time benefits, a competitive salary of 6 LPA, and the chance to work alongside world‑class engineers. The experience builds a strong foundation in data annotation, quality assurance, and AI product pipelines, making it an excellent springboard for a career in technology.