Amazon Hiring 2026 | Recruitment for Freshers | ML Data Associate I

Freshers Recruitment; Chennai District; On-site; INR 300,000 - 600,000; Full time

Job summary

Amazon is hiring for the ML Data Associate I role in Chennai, inviting fresh graduates with B.E, B.Tech, or B.Sc qualifications to join its 2026 recruitment drive. The position focuses on data annotation across audio, image, video, and text to support machine learning models, with emphasis on producing high-quality data while following internal guidelines.

Candidates should have a Bachelor’s degree and strong English skills; willingness to work flexible shifts is a plus.

Qualifications

• Bachelor’s degree in any relevant discipline.
• Good command of English (reading, writing, and speaking).
• Basic knowledge of Microsoft Office tools.

Responsibilities

• Work on data annotation tasks involving audio, image, video, and text data to support machine learning models.
• Follow given instructions carefully to produce accurate and high-quality data for product development.
• Perform repetitive tasks efficiently while maintaining quality standards using internal tools and systems.
• Use strong English language skills to ensure proper grammar, clarity, and correct usage in generated content.
• Follow standard procedures, guidelines, and compliance requirements for all assigned tasks.
• Meet daily productivity and quality targets and update task status using provided tracking tools.
• Conduct quality checks and verification to maintain high internal standards.
• Accurately report results, identify issues, and elevate problems through proper channels when needed.
• Raise queries or concerns in the system and close them within defined timelines (SLAs).
• Take ownership of daily goals and manage task dependencies to ensure timely delivery.
• Strictly follow data confidentiality and compliance guidelines to protect customer and company information.
• Assist in testing new tools, workflows, and SOPs, and provide feedback to improve processes.
• Adhere to organizational policies and consistently maintain required productivity and quality benchmarks.

Skills

English proficiency

Attention to detail

Willingness to work shifts

Education

Bachelor's degree in any relevant discipline

Tools

Microsoft Office

Job description

Amazon Hiring 2026 | Recruitment for Freshers | ML Data Associate I

Amazon Hiring 2026 : Amazon is inviting applications for the ML Data Associate I role as part of its 2026 recruitment drive. This opportunity is open to fresh graduates with B.E, B.Tech, or B.Sc qualifications. The job location is Chennai, making it a great option for candidates looking to start their career with a global tech company. Interested candidates are encouraged to apply at the earliest through the online application process.

Amazon Recruitment 2026 Details

• Job Role: ML Data Associate I
• Job Category: IT Jobs
• Experience: Freshers
• Salary/CTC: Best in Industry
• Last Date to Apply: As soon as possible

Eligibility Criteria

Basic Requirements:

• A Bachelor’s degree in any relevant discipline
• Good command of English (reading, writing, and speaking)
• Basic knowledge of Microsoft Office tools

Preferred Skills:

• Willingness to work flexible shifts, including weekends, night shifts, or holidays if required
• General knowledge or interest in sports and related activities

Roles and Responsibilities

• Work on data annotation tasks involving audio, image, video, and text data to support machine learning models
• Follow given instructions carefully to produce accurate and high-quality data for product development
• Perform repetitive tasks efficiently while maintaining quality standards using internal tools and systems
• Use strong English language skills to ensure proper grammar, clarity, and correct usage in generated content

• Follow standard procedures, guidelines, and compliance requirements for all assigned tasks
• Meet daily productivity and quality targets and update task status using provided tracking tools
• Conduct quality checks and verification to maintain high internal standards
• Accurately report results, identify issues, and elevate problems through proper channels when needed
• Raise queries or concerns in the system and close them within defined timelines (SLAs)
• Take ownership of daily goals and manage task dependencies to ensure timely delivery
• Strictly follow data confidentiality and compliance guidelines to protect customer and company information
• Assist in testing new tools, workflows, and SOPs, and provide feedback to improve processes
• Adhere to organizational policies and consistently maintain required productivity and quality benchmarks

Amazon Recruitment 2026 for the ML Data Associate I role is a great opportunity for fresh graduates to begin their careers with a leading global technology company. With competitive salary packages, hands‑on experience in machine learning data processes, and exposure to real-world projects, this role offers strong career growth and learning potential. Candidates who meet the eligibility criteria and are eager to work in a dynamic environment should apply as soon as possible to take advantage of this opportunity.

FAQs for Amazon Off Campus Drive 2026

1. Who can apply for the Amazon Off Campus Drive 2026?

Candidates who have completed or are completing a B.E, B.Tech, or B.Sc degree are eligible to apply. Freshers are encouraged to apply for this drive.

2. What is the job role offered in Amazon Recruitment 2026?

Amazon is hiring for the ML Data Associate I position, where selected candidates will work on data annotation and machine learning–related tasks.

3. Where is the job location for this role?

The job location for the Amazon Off Campus Drive 2026 is Chennai.

4. Is prior work experience required to apply?

No, prior experience is not mandatory. This role is open to fresh graduates with the required qualifications and skills.

5. How can candidates apply for Amazon Off Campus Drive 2026?

Interested and eligible candidates can apply online through the official Amazon careers portal as soon as possible.