Amazon is hiring for the role of Associate, ML Data Operations (GO-AI Operations), a non-tech, video/image auditing role that supports robotics-driven fulfillment centers by ensuring inventory accuracy and stow quality. This position is ideal for graduates who can work in rotational shifts and maintain high accuracy while reviewing hundreds of short warehouse videos every day.
Job Details
| Company | Amazon |
| Job Role | Associate, ML Data Operations – GO-AI Operations |
| Location | Work From Home |
| Experience | Freshers / 0–2 years |
| Salary | As Per Company Standards |
| Employment Type | Contract duration of 6 months |
| Last Date to Apply | Not Mentioned |
About The Company
Amazon is a global technology and e-commerce leader that uses robotics, AI, and ML to automate key functions in its fulfillment network, enabling faster and more accurate deliveries. Its robotics fulfillment centers integrate automated systems with human auditors to keep inventory records precise while providing inclusive, flexible work environments.
Eligibility Criteria
Education: Bachelor’s degree in any discipline (minimum requirement).
Experience: Freshers and early-career professionals are eligible.
Prior experience in operations, data labeling, content moderation, or QA is an added advantage (not mandatory).
Skills: High attention to detail and focus for long periods of screen-based work.
– Ability to audit image/video/text-based tasks accurately.
– Comfort with identifying details in blurry or low-quality videos.
– Strong time management to hit daily targets and maintain 6.8–7 hours of active video audit time per day.
– Good communication and teamwork skills to work with remote and rotational teams.
Other Requirements:
– Willingness to work in a non-tech, operational role for a 6-month contract.
– Flexibility to work rotational shifts, including nights, weekends, and holidays.
– Readiness to work from home or office as per business requirement; WFH associates need a dedicated workspace with proper lighting and privacy.
– Comfortable switching on laptop camera during virtual meetings.
Roles & Responsibilities
– Watch and audit several hundred short (15–20 seconds) warehouse stowing videos per shift using internal tools.
– Verify or mark the location of products in storage pods to maintain high stow quality and inventory accuracy.
– Maintain strong accuracy (quality) and speed (productivity) metrics while following acceptable operational practices.
– Identify key details even in blurry or less sharp videos and provide the correct response using judgment and reference guidelines.
– Spend around 6.8–7 hours of active video auditing time in a 9-hour shift, excluding scheduled breaks.
– Adhere to data privacy and security policies; ensure that work-related data is not visible or accessible to others in your workspace.
– Collaborate with remote teams, participate in virtual meetings with camera on, and be open to coaching and performance feedback.
Selection Process
Online Application:
Submit your application through the official Amazon careers portal using the Associate, ML Data Operations GO-AI Operations job listing.
Shortlisting:
Profiles meeting the basic criteria (bachelor’s degree, shift flexibility) are shortlisted for further stages.
Assessment Rounds (may vary by location):
– Online aptitude and English / logical reasoning test (as per official notification).
– Job simulation / work-style assessment to test attention to detail, pattern recognition, and judgment on sample videos or tasks.
Interview:
One or more virtual interviews focusing on operations understanding, shift readiness, and behavioral questions.
Background Check & Offer:
Standard background verification followed by release of offer letter and onboarding details as per Amazon process.
How to Apply For Associate ML data operations amazon jobs
- Visit the official careers page: Click Here to Apply
- Register/Login with your details.
- Fill in the application form and upload your resume.
- Submit before Application Deadline.
Preparation Tips
Build familiarity with:
Basic understanding of how robotics fulfillment centers and inventory systems work (even at a high level).
Concepts of quality, productivity, and defect reduction in operations.
Practice:
- Improve concentration by practicing long-duration screen tasks with frequent short breaks (similar to scheduled breaks in a 9-hour shift).
- Try sample exercises where you must quickly spot differences or identify objects in low-resolution images or short clips.
For assessments and interviews:
- Prepare to explain why you are comfortable with a non-tech, contract-based, shift role.
- Highlight any experience in data entry, content review, customer support, or auditing that shows your accuracy and discipline.
Be clear and honest about your shift flexibility and work-from-home setup readiness.
Important Dates
| Application Start Date | 1st December, 2025 |
| Last Date to Apply | Not Mentioned |
| Exam/Interview Date | Shared individually with shortlisted candidates via email |
This Associate, ML Data Operations – GO-AI Operations role is a strong fit for graduates looking for a structured non-tech job at Amazon that combines operational discipline, attention to detail, and exposure to robotics-driven fulfillment environments.
