Amazon is hiring for the ML Data Associate I role in Chennai, Tamil Nadu. This is an 11-month direct contract position on Amazon’s payroll, focused on supporting machine learning data processing through annotation, quality checks, data collection, and internal ML tools.
Amazon ML Data Associate I – Job Overview
| Particulars | Details |
|---|---|
| Company | Amazon |
| Job Role | ML Data Associate I |
| Job ID | 10475306 |
| Employment Type | Direct Contract |
| Contract Duration | 11 Months |
| Location | Chennai, Tamil Nadu |
| Qualification | Bachelor’s Degree |
| Experience | Not specified |
| Department | Consumer Robotics |
| Work Area | Operations, IT & Support Engineering |
| Primary Area | ML Data Processing |
About the Role
The ML Data Associate I role supports Amazon’s machine learning and smart-device technologies. The position involves working with audio, image, video, and text data to create accurate datasets used for product development.
Candidates will follow defined instructions, use internal tools, perform quality checks, and maintain productivity and accuracy standards.
Key Responsibilities
- Perform ML data annotation for audio, image, video, and text
- Follow task instructions and data-processing guidelines
- Maintain high accuracy and quality standards
- Apply proper grammar, syntax, and language rules
- Perform data collection activities
- Track daily productivity and quality targets
- Conduct quality audits and verification
- Report issues and escalate failures
- Maintain task records and status reports
- Support testing of new ML data tools and SOPs
- Follow confidentiality and data-compliance requirements
- Complete assigned tasks within defined SLAs
Eligibility Criteria
| Criteria | Requirement |
|---|---|
| Education | Bachelor’s Degree |
| English | Fluency in speaking, reading and writing |
| Technical Knowledge | Microsoft Office |
| Experience | Not specified in the provided listing |
| Shift Flexibility | Preferred |
| Weekend/Holiday Work | May be required |
| US Culture Familiarity | Preferred |
Skills Required
Candidates should be comfortable with:
- Data annotation
- Data collection
- Quality checking
- Following detailed instructions
- Microsoft Office
- English grammar and language
- Reporting and documentation
- Problem identification
- Meeting productivity targets
- Maintaining data confidentiality
Who Should Apply?
This role can be considered by graduates who have a Bachelor’s degree, strong English communication skills, attention to detail, and the ability to work with repetitive data-processing tasks.
Candidates should also be prepared for a flexible work schedule, as the listing mentions that weekends, nights, and holidays may be required.
Work Location
Chennai, Tamil Nadu, India
The position is associated with Amazon’s Consumer Robotics organization and focuses on machine-learning data processing activities.
Important Contract Details
The position is specifically listed as an 11-month Direct Contract role with Amazon, on Amazon’s payroll.
Candidates should carefully review the employment terms before applying.
Quick Summary
| Job Information | Details |
|---|---|
| 🏢 Company | Amazon |
| 💼 Role | ML Data Associate I |
| 📍 Location | Chennai |
| 🎓 Qualification | Bachelor’s Degree |
| ⏳ Contract | 11 Months |
| 🤖 Domain | Machine Learning Data |
| 🖼️ Data Types | Audio, Image, Video & Text |
| 🛠️ Key Work | Annotation, Quality Checks & Data Processing |
| 💻 Tools | Internal ML/Data Tools, Microsoft Office |
| 🕐 Shift | Flexible schedule may be required |
Final Words
The Amazon ML Data Associate I position is an opportunity for graduates interested in machine learning data processing, annotation, quality assurance, and AI-related operations.
The role does not primarily involve developing ML models. Instead, it focuses on preparing and validating high-quality data that supports machine learning products.
Candidates should carefully review the Bachelor’s degree requirement, English proficiency, shift flexibility, and 11-month contract structure before applying.
Apply through the official Amazon Jobs portal and verify the job status before submitting your application.