Amazon – ML Data Associate I

December 21, 2025

Job Description

About the Job:

🏒 Company: Amazon

πŸ’Ό Role: ML Data Associate I

πŸ“ Location: Chennai, Tamil Nadu, India (ADCI MAA 12 SEZ)

⏳ Experience: Entry Level / Fresher

πŸ”– Job Type: Full-Time, Fixed-Term Contract (6 Months)

Job Description:

The ML Data Associate I role at Amazon is a unique opportunity to work at the intersection of artificial intelligence, machine learning, and real-world product development. In this position, you will support cutting-edge smart device technologies that use AI, computer vision, sensors, and voice computing to enhance everyday life. The role focuses on collecting and validating high-quality ground truth data that directly powers machine learning models used in Amazon’s next-generation devices and services.

As part of Amazon’s device and AI ecosystem, you will execute clearly defined instructions to capture, analyze, and report data with precision. Your work will directly influence how intelligent systems understand environments, user behavior, and real-world conditions. Accuracy, consistency, and attention to detail are critical, as the data you generate becomes the foundation for training and validating machine learning models used at scale across global products.

This is a six-month fixed-term contract role, ideal for candidates who are detail-oriented, process-driven, and eager to gain hands-on exposure to AI-driven product development in a global technology organization. You will operate in a structured environment with clear productivity and quality benchmarks, while collaborating with internal teams to ensure data accuracy, task completion, and continuous improvement in execution quality.


Roles & Responsibilities:

  • Execute assigned tasks to collect and generate ground truth data following detailed guidelines and workflows.

  • Perform data capture, validation, and reporting activities with high accuracy and consistency.

  • Understand and adapt to updated procedures, instructions, and task requirements for new releases.

  • Carry out repetitive and process-driven tasks without compromising quality or productivity standards.

  • Use internal software tools for data capture while adhering strictly to organizational processes.

  • Accurately document results, track execution status, and report progress through defined systems.

  • Identify, raise, and escalate execution failures or doubts through designated portals within SLAs.

  • Ensure timely closure of raised issues by following resolution workflows and compliance guidelines.

  • Meet daily productivity targets while managing dependencies and workload efficiently.

  • Maintain quality benchmarks and contribute to continuous improvement through disciplined execution.


Requirements & Eligibility:

  • Bachelor’s degree from a recognized university in any discipline.

  • Strong proficiency in reading, writing, and speaking English at CEFR B2/C1 level.

  • Working knowledge of Microsoft Office applications such as Word, Excel, and Outlook.

  • Ability to follow detailed instructions and standardized processes with high attention to detail.

  • Strong analytical mindset with the ability to identify errors and inconsistencies in data.

  • Comfort with repetitive, structured tasks in a quality-driven environment.

  • Willingness to work flexible schedules, including nights, weekends, or holidays if required.

  • Ability to communicate execution issues clearly and escalate concerns appropriately.

  • Familiarity with US culture is an added advantage for task interpretation and execution.

  • Self-disciplined, process-oriented, and capable of meeting productivity and quality targets.


Expected Salary:

For ML Data Associate I roles on a fixed-term contract in India, Amazon typically offers a compensation package aligned with entry-level AI operations and data support positions. Based on industry benchmarks, the salary generally ranges between β‚Ή3 LPA to β‚Ή5 LPA, depending on location, shift requirements, and performance expectations. In addition to base pay, candidates gain valuable exposure to Amazon’s AI ecosystem, structured workflows, and global operational standards.

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