Amazon has officially opened applications for the position of Associate, ML Data Operations (GO-AI Operations) in Bengaluru, Karnataka. This is an excellent opportunity for fresh graduates looking to start their careers with one of the world’s most innovative technology companies.
The role is part of Amazon’s Data Auditing Operations team, which supports automation and inventory accuracy in Amazon Robotics Fulfillment Centers. Candidates with a Bachelor’s degree can apply for this exciting opportunity.
Amazon Recruitment 2026 Overview
| Particulars | Details |
|---|---|
| Company | Amazon |
| Job Role | Associate, ML Data Operations (GO-AI Operations) |
| Job ID | 10408673 |
| Location | Bengaluru, Karnataka |
| Qualification | Bachelor’s Degree |
| Experience | Freshers Eligible |
| Job Type | Full-Time |
| Shift Type | Rotational Shifts |
| Weekly Offs | 2 Consecutive Rotational Offs |
| Apply Mode | Online |
About the Role
Amazon’s GO-AI Operations team plays a critical role in supporting fulfillment center automation. The team helps maintain inventory accuracy by auditing images and videos captured during warehouse operations.
As an Associate, you will review short videos of stowing activities in fulfillment centers and use specialized tools to identify product locations accurately. Your work will directly contribute to improving Amazon’s automated inventory management systems.
This is a non-technical operational role that requires strong observation skills, attention to detail, and the ability to maintain high levels of accuracy.
Key Responsibilities
Selected candidates will be responsible for:
- Auditing hundreds of videos during each shift.
- Reviewing image, video, and text-based tasks.
- Identifying products and their storage locations.
- Maintaining quality and productivity targets.
- Following Amazon’s operational guidelines.
- Supporting fulfillment center inventory accuracy.
- Making accurate decisions using human judgment and auditing tools.
- Contributing to defect reduction and process improvement.
What Will You Do Daily?
A typical day in this role involves:
- Watching short warehouse operation videos.
- Auditing visual data with high accuracy.
- Using internal tools to verify product placement.
- Meeting productivity and quality benchmarks.
- Collaborating with remote teams.
- Participating in virtual meetings when required.
Since the role involves continuous video auditing, candidates must be comfortable working on screens for extended periods while maintaining concentration.
Skills Required
Amazon is looking for candidates who possess:
Attention to Detail
The ability to identify even small details in videos and images.
Analytical Thinking
Strong observation skills and logical decision-making abilities.
Focus and Accuracy
Capability to work with blurry or less clear videos while maintaining accuracy.
Teamwork
Ability to collaborate effectively with remote and global teams.
Adaptability
Willingness to work in changing schedules and dynamic work environments.
Eligibility Criteria
Basic Qualification
- Bachelor’s Degree from a recognized university.
Preferred Qualification
- Ability to work flexible schedules.
- Willingness to work weekends and holidays.
- Readiness to work rotational shifts, including night shifts.
Work Schedule and Shift Details
Amazon operates in a 24×7 environment, and Associates are expected to work rotational shifts.
Shift Information
- 9-hour work shift including breaks.
- Rotational day and night shifts.
- Shift timing may change based on business requirements.
- Night shift allowance provided as per company policy.
Weekly Offs
Employees receive:
- 5 working days per week.
- 2 consecutive rotational weekly offs.
- Weekends are not guaranteed as holidays.
Work From Home Requirements
For associates working remotely, Amazon requires:
- A dedicated workspace.
- Proper table and chair setup.
- Adequate lighting conditions.
- Secure handling of work-related information.
- No unauthorized access to company devices or data.
Candidates may also be required to visit the office when business needs arise.
Why Join Amazon?
Working at Amazon offers several advantages:
Global Brand Exposure
Gain experience with one of the world’s leading technology companies.
AI and Automation Environment
Work closely with systems that support machine learning and robotics operations.
Career Growth
Build skills that can lead to future opportunities in:
- Data Operations
- AI Operations
- Process Excellence
- Quality Analysis
- Machine Learning Support Functions
Inclusive Work Culture
Amazon promotes diversity, inclusion, and continuous learning.
Job Location
The position is based in Bengaluru, Karnataka, India’s leading technology and innovation hub.
How to Apply for Amazon Associate ML Data Operations Recruitment 2026?
Interested candidates can apply online through Amazon’s official careers portal.
Apply Link
https://www.amazon.jobs/en/jobs/10408673/associate-ml-data-operations-go-ai-operations
Candidates are advised to apply as early as possible because applications may close once the required number of candidates have been shortlisted.
Selection Process
The selection process generally includes:
- Application Screening
- Online Assessment (if applicable)
- Interview Round(s)
- Final Selection and Offer
The exact process may vary based on business requirements.
also read : Data Science Internship 2026: Work From Home Opportunity with ₹22,000 Monthly Stipend, Apply Before 21 June
also read : Cognizant Fresher Hiring 2026 for Digital Workplace Practice (Service Desk) Role | Apply Before 15 June
Final Words
The Amazon Associate, ML Data Operations (GO-AI Operations) role is an excellent opportunity for graduates who want to begin their careers with a globally recognized organization. If you have strong attention to detail, enjoy analytical tasks, and are comfortable working with image and video auditing processes, this role can be a great stepping stone toward a successful career in AI-enabled operations and data management.
Interested candidates should apply soon and take advantage of this exciting opportunity with Amazon.
