Amazon is hiring fresh graduates for the position of ML Data Associate I. This is an excellent opportunity for candidates who are passionate about Artificial Intelligence, Machine Learning, data annotation, and language processing. The role offers hands-on experience in supporting Amazon’s innovative smart device technologies while working with one of the world’s leading technology companies.
Selected candidates will work on machine learning data annotation, quality verification, and data processing tasks involving audio, image, video, and text files. This is an 11-month direct contract role on Amazon’s payroll, making it a great opportunity for fresh graduates to gain valuable industry experience.
Amazon Off Campus 2026 Hiring Fresher For ML Data Associate I
| Details | Information |
|---|---|
| Company | Amazon |
| Job Role | ML Data Associate I |
| Qualification | Bachelor’s Degree |
| Eligible Batch | Recent Graduates |
| Experience | Freshers |
| Expected Salary | ₹4 – ₹6 LPA (Expected) |
| Job Type | Full-Time (11-Month Direct Contract) |
| Location | India |
| Job ID | 10460561 |
| Last Date to Apply | Apply As Soon As Possible |
Job Description
Amazon is looking for enthusiastic graduates to join its Machine Learning team as an ML Data Associate I. In this role, you will perform data annotation and quality assurance tasks for machine learning models by working with audio, image, video, and text datasets. You will use internal tools to generate high-quality training data that helps improve Amazon’s AI-powered products and services.
This role requires strong attention to detail, good English language skills, and the ability to follow standard operating procedures while consistently meeting productivity and quality targets.
Qualifications & Skills
- Bachelor’s Degree from a recognized university.
- Freshers are encouraged to apply.
- Excellent written and verbal communication skills in English.
- Ability to read, write, and speak English fluently.
- Good knowledge of Microsoft Office applications.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Ability to follow detailed instructions and standard operating procedures.
- Willingness to work flexible shifts, including weekends, nights, or holidays if required.
- Familiarity with US culture is an added advantage.
Roles and Responsibilities
- Perform annotation tasks for machine learning datasets, including audio, image, video, and text.
- Process data according to predefined instructions and quality standards.
- Maintain high levels of accuracy while completing repetitive data processing tasks.
- Apply grammar, syntax, and language rules to improve generated content.
- Participate in data collection activities when required.
- Track daily productivity and quality metrics.
- Perform quality checks and verification of processed data.
- Report issues, failures, and queries through internal systems.
- Collaborate with team members to resolve execution-related issues.
- Test new standard operating procedures (SOPs) and machine learning tools.
- Maintain confidentiality and comply with Amazon’s data security policies.
- Achieve daily productivity and quality goals consistently.
How To Apply For Amazon Careers
- Click on the Apply Here button provided below.
- You will be redirected to the official Amazon Careers website.
- Click on Apply Now.
- Sign in using your Amazon Jobs account or create a new account.
- Complete the online application form.
- Upload your updated resume and required documents.
- Verify all the details before submitting your application.
- Submit your application successfully.
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About Amazon
Amazon is one of the world’s largest technology companies, known for its leadership in e-commerce, cloud computing, artificial intelligence, and digital innovation. The company develops cutting-edge technologies that improve the lives of millions of customers worldwide. Amazon provides excellent career opportunities, continuous learning, and a collaborative work environment where employees can grow professionally while working on innovative products and services.
