Amazon ML Data Operations Associate opening (Job ID: 3134253) under the prestigious GO-AI Operations team at ADCI – Karnataka is a fantastic 2026 opportunity for graduates looking to work at the world’s largest e-commerce and cloud computing company. Amazon is hiring an Associate for its ML Data Operations team in Bangalore to perform precise video and image audits that directly power AI automation at Amazon Robotics Fulfillment Centers across the globe. If you have sharp attention to detail, high focus, and are willing to contribute to cutting-edge fulfillment automation, this exciting contract role at Amazon is your gateway to one of the world’s most innovative organizations.
Job Details
| Company | Amazon |
| Job Role | Associate, ML Data Operations – GO-AI Operations |
| Location | Pan India |
| Experience | Freshers / Entry-Level (Any Graduate) |
| Salary | As per company standards + Night Shift Allowance |
| Employment Type | Contract – 6 Months |
| Last Date to Apply | As soon as possible |
About The Company
Amazon is the world’s largest e-commerce and technology company, founded in 1994 by Jeff Bezos and headquartered in Seattle, Washington, USA. Amazon’s India Development Center (ADCI) in Bangalore and Hyderabad is one of the company’s most critical global engineering and operations hubs, employing thousands of professionals across software, operations, AI/ML, and data science roles. The GO-AI Operations team specifically focuses on enabling hands-free automation at Amazon Robotics Fulfillment Centers through real-time and offline video/image data auditing powered by human intelligence and machine learning.
Eligibility Criteria
Education: Bachelor’s degree in any discipline (mandatory)
Experience: Freshers and entry-level candidates are eligible to apply
Key Requirements:
- Willingness to work in a non-tech operational role for a contract duration of 6 months
- Ability to audit image, video, and text-based jobs with high accuracy and speed
- Ability to identify details from blurry or less sharp videos — requires very high attention and focus
- Willingness to work on incremental quality and productivity targets
- Ability to work in rotational shifts including night shifts in a 24×7 environment
- Strong team player with ability to work in remote/virtual teams
- Readiness to visit the office on required days (for WFH associates)
- Willingness to keep laptop camera switched ON during virtual meetings
Preferred:
Flexibility to work weekends, nights, and holidays as per business requirements
Roles & Responsibilities
- Watch several hundred short videos (15–20 seconds each) per shift captured at Amazon Robotics Fulfillment Centers
- Understand stowing actions in videos and use best human judgement combined with tools to accurately identify and mark activities
- Verify or mark the location of products through Amazon’s internal auditing tool with the highest level of accuracy
- Maintain strict accuracy (quality) and speed (productivity) goals throughout every shift
- Take breaks only at pre-defined slots and ensure 6.8 to 7 hours of productive work per day
- Adhere to data security policies — ensure no one other than the employee accesses workspace or work-related data
- Maintain a dedicated WFH workspace with a proper table, chair, and sufficient lighting (for remote associates)
- Work in 24×7 rotational shifts with shift timings subject to change every 3–4 months
- Contribute to improving the effectiveness of Amazon’s automated stowing processes through high-quality audits
Selection Process
- Online Application Submission – Resume screening based on educational qualification and basic eligibility
- HR Screening Call – Initial fitment, communication, and shift flexibility assessment
- Operational Assessment / Aptitude Test – Evaluation of attention to detail, visual accuracy, and speed
- Managerial / Operations Round – Role understanding, work-from-home setup verification, and team fitment
- Final Offer – Background verification, contract documentation, and onboarding
How to Apply For Amazon ML Data Operations Associate
- Visit the official Amazon Jobs portal: Link Given Below
- Click “Apply Now” and sign in or create your Amazon Jobs account
- Upload your updated resume and complete the application form
- Submit the application and monitor your registered email for assessment and interview communication from the Amazon talent team
- For disability-related accommodations during the hiring process, visit amazon.jobs/accommodations
Preparation Tips
- Practice visual attention exercises — train yourself to spot product labels, shelf positions, and subtle differences in video frames quickly and accurately
- Improve typing speed and tool navigation — fast and precise data entry is critical for meeting productivity targets in this role
- Understand Amazon’s fulfillment operations — watch publicly available videos on Amazon Robotics and fulfillment center workflows to understand the stowing process context
- Set up a proper WFH workspace — a clean, well-lit, dedicated workspace with stable internet and a functioning laptop camera is mandatory for WFH candidates
- Prepare for shift flexibility questions — be ready to clearly communicate your availability for night shifts, rotational shifts, and weekend work
- Practice sustained focus tasks — reviewing large volumes of videos with consistent accuracy requires strong concentration; practice timed focus exercises beforehand
Important Dates
| Application Start Date | March 2026 (Active Posting) |
| Last Date to Apply | Rolling Basis (Apply As soon as possible) |
| Exam/Interview Date | Shortlisted candidates will get email communication |
