Amazon ML Data Operations Jobs 2026 | Freshers Apply Online

Amazon Associate, ML Data Operations (GO-AI Operations) Recruitment 2026 | Freshers Apply

Introduction

Amazon is hiring Associate, ML Data Operations (GO-AI Operations) for its Bengaluru office. This is an excellent opportunity for fresh graduates who want to begin their careers in Artificial Intelligence operations, Machine Learning data annotation, image and video auditing, and enterprise technology services. Candidates looking for Freshers Jobs, AI Jobs, Data Analyst Jobs, Machine Learning Jobs, and Enterprise Technology Careers should not miss this opportunity.

As an ML Data Operations Associate, you will support Amazon Robotics and Fulfillment Technologies by auditing images and videos, validating inventory data, and helping improve AI-powered automation systems. The role provides hands-on exposure to machine learning workflows, computer vision operations, quality assurance, and data validation while working in one of the world’s leading technology companies.

Job Overview

About Company

Amazon is one of the world’s largest technology companies, operating across e-commerce, cloud computing, artificial intelligence, logistics, robotics, and digital services. The company continuously invests in AI-driven technologies that improve customer experience, warehouse automation, supply chain efficiency, and operational excellence.

The GO-AI Operations team plays a vital role in supporting Amazon Robotics by providing high-quality human intelligence required to train and improve machine learning models. Teams work closely with advanced computer vision systems, image recognition technologies, and automation platforms to enhance inventory accuracy and fulfillment operations.

Amazon provides employees with a collaborative work culture, continuous learning opportunities, structured career development programs, and exposure to cutting-edge AI technologies used at global scale.

About Role

As an Associate in ML Data Operations, you will review hundreds of short videos and images during each shift, accurately identify product locations, validate inventory activities, and provide precise annotations using internal tools. Your work directly contributes to improving machine learning models that power Amazon’s fulfillment centers.

This operational role requires exceptional attention to detail, focus, productivity, and consistency while maintaining strict quality standards. Associates work in rotational shifts and collaborate with distributed teams supporting Amazon’s AI and Robotics initiatives.

Key Responsibilities

• Audit image, video, and text-based tasks.
• Review short fulfillment center videos.
• Identify products and storage locations accurately.
• Maintain high quality and productivity standards.
• Support AI and Machine Learning data validation.
• Follow operational guidelines and quality processes.
• Work with remote and cross-functional teams.
• Maintain inventory data accuracy.
• Participate in performance improvement activities.
• Work in rotational shifts, including night shifts.

Eligibility Criteria

• Bachelor’s degree in any discipline.
• Fresh graduates are eligible to apply.
• Strong attention to detail.
• Ability to work in rotational shifts.
• Willingness to work in a 6-month contractual role.
• Comfortable working with image and video-based tasks.

Required Skills

• Analytical Thinking
• Attention to Detail
• Image & Video Auditing
• Quality Assurance
• Computer Skills
• Time Management
• Communication Skills
• Problem Solving
• Team Collaboration
• Productivity Management

Preferred Skills

• Machine Learning Awareness
• Computer Vision Basics
• Data Annotation
• Inventory Operations Knowledge
• AI Operations
• Remote Team Collaboration
• Adaptability

Why Join Amazon?

• Work with one of the world’s leading technology companies.
• Gain exposure to AI and Robotics operations.
• Build experience with Machine Learning workflows.
• Structured learning and career development.
• Collaborative and innovative work culture.
• Opportunity to work on real-world AI systems.
• Strong global brand value for future career growth.

Career Growth Opportunities

This role provides an excellent entry point into Artificial Intelligence Operations, Data Annotation, Machine Learning Support, and Computer Vision workflows. Associates gain valuable experience working with enterprise-scale AI systems, quality assurance processes, operational analytics, and automation technologies.

With strong performance and continuous learning, professionals can progress into roles such as ML Data Associate, Quality Analyst, AI Operations Specialist, Process Specialist, Operations Analyst, Data Analyst, Business Analyst, or transition into technical AI and Machine Learning support roles within Amazon or other leading technology companies.

Salary Insights

Amazon has not officially disclosed the salary for this position. Based on 2026 industry trends, Associates working in Machine Learning Data Operations and AI Data Annotation roles at leading technology companies generally earn between ₹3.8 LPA and ₹6.5 LPA. Employees working rotational night shifts may also receive applicable shift allowances as per company policy.

Professionals who build expertise in AI operations, data quality, analytics, and machine learning workflows often experience strong career progression into higher-paying technology and operations roles.

Company Reviews

Based on employee reviews available across public career platforms, Amazon is recognized for its fast-paced work culture, innovation-driven environment, structured training programs, and opportunities to work with cutting-edge technologies. Employees appreciate the company’s learning resources, global exposure, and performance-driven culture.

Many professionals mention that the role requires strong focus, discipline, and productivity due to operational targets and rotational work schedules. Overall, Amazon offers valuable experience for professionals starting careers in AI operations and enterprise technology.

Selection Process

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

Work Location

Bengaluru, Karnataka

Application Deadline

No official application deadline has been announced. Interested candidates should apply as soon as possible.

📘 Recommended Skills & Learning Resources

• Python Course & Notes
• SQL Course & Notes
• Data Science Complete Course

🎯 Interview Preparation Resources

Prepare by improving your analytical thinking, observation skills, attention to detail, communication, and understanding of AI and machine learning fundamentals. Practice image interpretation, data validation, and problem-solving exercises while preparing for behavioral interview questions.

• Amazon ML Data Operations Interview Questions
• Complete Interview Guide for Freshers

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Frequently Asked Questions (FAQs)

1. Who can apply for the Amazon Associate, ML Data Operations role?
Candidates with a Bachelor’s degree are eligible to apply.

2. Is this role suitable for freshers?
Yes. Fresh graduates are encouraged to apply.

3. Is this a permanent position?
The current opening is for a 6-month contractual role.

4. What is the expected salary?
Based on industry estimates, similar ML Data Operations roles generally offer between ₹3.8 LPA and ₹6.5 LPA, along with applicable shift allowances.

5. Will rotational shifts be required?
Yes. Associates work in rotational shifts, including night shifts, based on business requirements.

6. Where is the work location?
The role is based in Bengaluru, Karnataka.

Conclusion

The Amazon Associate, ML Data Operations (GO-AI Operations) Recruitment 2026 is an outstanding opportunity for fresh graduates interested in Artificial Intelligence, Machine Learning, Computer Vision, and enterprise operations. Working on real-world AI systems, robotics automation, and data validation projects provides valuable industry experience while opening doors to future careers in AI, analytics, and technology operations. Candidates looking for Freshers Jobs, AI Jobs, Machine Learning Jobs, and Data Analyst Jobs should apply at the earliest.