Amazon has announced a new recruitment drive for the position of ML Data Associate I in Chennai. This opportunity is open to Graduates, Engineering Graduates, and Postgraduates. Both freshers and experienced candidates are eligible to apply. If you’re interested in working with artificial intelligence, machine learning, and data annotation, this is an excellent opportunity to start or grow your career with Amazon.
Amazon Recruitment 2026 – Overview
| Particulars | Details |
|---|---|
| Company | Amazon |
| Job Role | ML Data Associate I |
| Job Location | Chennai |
| Job Type | Full-Time |
| Work Mode | Onsite |
| Category | Operations, IT & Support Engineering |
| Qualification | Graduate / Engineering / Postgraduate |
| Experience | Freshers & Experienced |
| Salary | As per company standards |
| Job ID | 10475319 |
About Amazon
Amazon continues to innovate in the fields of Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, and Smart Device Technology. The company develops intelligent products that help customers with home security, monitoring, communication, and automation.
As an ML Data Associate I, you will contribute to improving AI models by creating high-quality training data through annotation and data processing tasks. This position is offered as an 11-month direct contract, with the employee working on Amazon’s payroll.
Job Responsibilities
Selected candidates will be responsible for:
- Perform data annotation for audio, image, video, and text datasets.
- Follow detailed guidelines to generate accurate training data for machine learning models.
- Work on repetitive data processing tasks while maintaining quality standards.
- Apply grammar, syntax, and language rules to produce high-quality text outputs.
- Follow standard operating procedures (SOPs) and compliance guidelines.
- Meet daily productivity and quality targets.
- Conduct quality checks and verification of completed tasks.
- Report issues, errors, and execution failures through internal systems.
- Collaborate with stakeholders to resolve task-related issues.
- Maintain confidentiality and ensure customer data security.
- Assist in testing new annotation tools and SOPs by providing feedback.
- Follow organizational quality and productivity standards consistently.
Eligibility Criteria
Candidates should have:
- A Bachelor’s Degree (Graduate / Engineering / Postgraduate).
- Excellent spoken, written, and reading skills in English.
- Good knowledge of Microsoft Office applications.
- Strong attention to detail and the ability to follow instructions accurately.
Preferred Skills
Preference may be given to candidates who:
- Are willing to work flexible shifts, including weekends, holidays, or night shifts.
- Have familiarity with US culture.
- Can work efficiently in a fast-paced environment.
- Possess good communication and analytical skills.
Salary
The salary package will be as per Amazon’s company standards and will depend on the candidate’s qualifications, skills, and experience.
Why Join Amazon?
Working at Amazon offers several advantages, including:
- Opportunity to work with cutting-edge AI and Machine Learning technologies.
- Exposure to global projects and innovative products.
- Professional learning and career growth.
- Collaborative and technology-driven work environment.
- Experience with one of the world’s leading technology companies.
How to Apply
Interested candidates can apply through Amazon’s official careers portal by searching for:
| Apply Link – | Click Here |
| For Regular Updates Join our WhatsApp – | Click Here |
| For Regular Updates Join our Telegram – | Click Here |
- Job Role: ML Data Associate I
- Job ID: 10475319
Complete the online application and submit all required details before the recruitment closes.
Important Note
- Carefully read the eligibility criteria before applying.
- Apply only through Amazon’s official recruitment portal.
- Amazon does not charge any fee during any stage of the recruitment process.
- Avoid fraudulent job offers requesting payment for interviews or job placement.
Disclaimer
The recruitment information shared above is provided for educational and informational purposes only. All job details are based on the official recruitment notification released by Amazon. Candidates should always verify the latest information through Amazon’s official careers website before applying. Neither this article nor the publisher guarantees employment or participates in the recruitment process. Never pay money to any individual or agency for job opportunities.
