Amazon has opened applications for the Associate, ML Data Operations – GO-AI Operations role, offering an excellent opportunity for graduates who want to work on Artificial Intelligence (AI) and Machine Learning (ML) projects. This position is ideal for candidates with strong analytical skills, attention to detail, and an interest in data annotation and AI model improvement.

Unlike traditional software development roles, this position focuses on supporting machine learning models by reviewing, validating, and labeling data such as text, images, audio, and videos. The work plays a key role in improving Amazon’s AI-powered technologies used across its fulfillment and robotics operations.

About Amazon

Amazon is one of the world’s largest technology companies, known for its leadership in e-commerce, cloud computing, artificial intelligence, and logistics. Through its GO-AI (Global Operations–Artificial Intelligence) team, Amazon develops and improves machine learning systems that enhance customer experience and warehouse automation.

Job Details

Company: Amazon

Job Role: Associate – ML Data Operations (GO-AI Operations)

Job Type: Full-Time / Contract (Based on Business Requirements)

Qualification: Bachelor’s Degree

Experience: Freshers & Experienced Candidates Can Apply

Work Location: Bengaluru, Chennai, Hyderabad, Mumbai and other locations (depending on business requirements)

Why This Job Is Trending in 2026

Artificial Intelligence is transforming every industry, and companies like Amazon require thousands of professionals to improve AI models with high-quality data. The Associate ML Data Operations role gives graduates an opportunity to work on real AI projects without requiring programming expertise.

Candidates will contribute to improving machine learning systems by reviewing and labeling datasets that help AI models become more accurate and efficient.

Key Responsibilities

Selected candidates will be responsible for:

• Reviewing and annotating image, video, text, and audio datasets.
• Ensuring high accuracy while labeling data.
• Maintaining data quality standards.
• Following detailed annotation guidelines.
• Identifying and correcting data errors.
• Supporting machine learning model training.
• Working with internal annotation tools.
• Meeting daily productivity and quality targets.

Eligibility Criteria

Candidates should have:

• Bachelor’s Degree in any discipline.
• Good English communication skills.
• Strong analytical thinking ability.
• Excellent attention to detail.
• Basic computer knowledge.
• Ability to work in rotational shifts if required.
• Willingness to learn new annotation tools and processes.

Fresh graduates are encouraged to apply.

Salary

Amazon offers a competitive salary package based on the candidate’s qualifications, experience, work location, and interview performance. Employees may also receive shift allowances, training, and other benefits according to company policy.

Benefits of Joining Amazon

Working at Amazon provides several advantages:

• Opportunity to work on AI and Machine Learning projects.
• Structured onboarding and training.
• Exposure to Amazon Robotics and Fulfillment Technologies.
• Career growth opportunities.
• Performance-based growth.
• Global work environment.
• Employee learning and development programs.

A Typical Day in This Role

A typical workday involves reviewing machine learning datasets, labeling images or videos, evaluating AI-generated outputs, maintaining data quality, and collaborating with team members to improve annotation accuracy. Depending on business needs, employees may work in rotational shifts.

Selection Process

The recruitment process generally includes:

• Online Application
• Resume Screening
• Online Assessment (if applicable)
• Virtual Interview
• HR Discussion
• Final Offer

The hiring process may vary depending on the business team.

How to Apply

Interested candidates can apply through the official Amazon Jobs portal. Before applying, update your resume with your educational qualifications, internships, certifications, technical skills, and academic projects to improve your chances of getting shortlisted.

More Details & Apply link : Click here

Why Freshers Should Apply

This role is an excellent starting point for graduates interested in AI operations and data quality. It provides hands-on experience with enterprise-scale machine learning workflows, exposure to global technology teams, and opportunities to develop valuable analytical and operational skills that are in demand across the industry.