Amazon Work From Home Hiring 2026 | Associate ML Data Operations | Bachelor’s Degree

Amazon Work From Home Hiring 2026 is an opportunity for candidates interested in a non-technical operations role supporting Amazon’s GO-AI Operations and Robotics Fulfillment Centers.

Amazon Work From Home Hiring

Amazon is hiring Associate, ML Data Operations professionals who will perform image and video auditing tasks to support automation at Amazon Robotics Fulfillment Centers. The role involves reviewing short videos of fulfillment-center activities, identifying relevant details, and providing accurate responses using Amazon’s internal tools.

This is a work-from-home/virtual role with rotational shifts in a 24×7 operating environment. Candidates working remotely are required to maintain a dedicated workspace and follow Amazon’s work-from-home requirements.

Amazon Associate ML Data Operations – Job Overview

Job DetailsInformation
CompanyAmazon
Job RoleAssociate, ML Data Operations
TeamGO-AI Operations
Job ID3134253
Job TypeNon-Technical Operations
ExperienceNot Mentioned
QualificationBachelor’s Degree
Work ModeWork From Home / Virtual
LocationsBengaluru, Hyderabad, Chennai, Mumbai & Andhra Pradesh
EmploymentContract – 6 Months
Work Environment24×7 Operations
ShiftsRotational Shifts, including Night Shifts
Weekly Offs2 Consecutive Rotational Days
SalaryNot Disclosed

Job Description

The GO-AI Operations team supports automation at Amazon Robotics Fulfillment Centers through real-time and offline image/video data auditing.

As an Associate, ML Data Operations, the employee will review videos showing stowing activities at Amazon fulfillment centers. The Associate must understand the activity captured in the video and use human judgment together with Amazon’s tools and resources to identify and mark the location of products accurately.

The work helps Amazon maintain fulfillment-center stow quality, improve inventory accuracy, reduce defects, and support automation.

Roles and Responsibilities

  • Watch several hundred videos during a shift.
  • Review image and video-based tasks.
  • Understand the activity captured in each video.
  • Identify relevant details from videos.
  • Verify or mark product locations using internal tools.
  • Maintain a high level of accuracy.
  • Meet productivity and quality targets.
  • Perform precise and thorough video/image audits.
  • Help reduce defects in fulfillment-center operations.
  • Follow defined processes and acceptable work practices.
  • Maintain consistent performance.
  • Work effectively with remote teams.
  • Participate in a 24×7 operational environment.
  • Follow scheduled break timings.
  • Spend approximately 6.8–7 hours per day answering video tasks.
  • Be prepared to attend the office for a few days when required.
  • Switch on the laptop camera during virtual meetings when required.

Eligibility Criteria

Educational Qualification

Candidates must have:

  • Bachelor’s Degree

This is the basic qualification specified in the official Amazon listing.

Experience

The official listing does not specify a minimum years-of-experience requirement.

Candidates should review the current application page for any additional eligibility requirements before applying.

Skills and Attributes Required

Candidates should be comfortable with:

  • Image and video auditing
  • Identifying details from videos
  • Working with computer-based tools
  • Maintaining high attention to detail
  • Following defined processes
  • Working toward quality targets
  • Working toward productivity targets
  • Handling repetitive operational tasks
  • Working in a fast-paced environment
  • Working with remote teams
  • Adapting to changing requirements
  • Maintaining consistent performance

The role requires the ability to identify details even in blurry or less-sharp videos, making strong visual attention and concentration important.

Work From Home Requirements

Candidates hired for the work-from-home role must maintain:

  • A dedicated workspace
  • A table and chair
  • Sufficient lighting
  • A professional work environment
  • Privacy for work-related information

Amazon states that workspace and work-related data should not be accessed by anyone other than the employee.

Remote Associates may also be required to come to the office for a few days when necessary.

Working Hours and Shifts

This role operates in a 24×7 environment.

Employees work a 9-hour shift including scheduled breaks. Shift timings may change every 3–4 months or according to business requirements.

Candidates must be comfortable working:

  • Rotational shifts
  • Night shifts
  • Weekends
  • Holidays when required

Amazon states that applicable night-shift allowance is provided according to its work policy.

Weekly offs consist of two consecutive rotational days off, rather than necessarily Saturday and Sunday.

Contract Duration

The job description states that candidates must be willing to work in this non-technical role for a contract duration of 6 months.

Salary Details

The official job listing does not disclose the salary or CTC for this position.

Night-shift allowance may be provided according to Amazon’s applicable work policy.

Locations

The Amazon job listing identifies virtual locations including:

  • Bengaluru, Karnataka
  • Hyderabad, Telangana
  • Chennai, Tamil Nadu
  • Mumbai, Maharashtra
  • Andhra Pradesh

The role is listed as Virtual / Work From Home.

How to Apply

Interested candidates can apply through the official Amazon Jobs website.

Official Application Link: Click here

Application Steps

  1. Open the official Amazon Jobs listing.
  2. Review the eligibility requirements.
  3. Click Apply now.
  4. Sign in or create an Amazon Jobs account.
  5. Complete your candidate profile.
  6. Upload your updated resume.
  7. Enter your educational and personal details.
  8. Review your application.
  9. Submit the application.

Interview Questions and Answers

1. Tell me about yourself.

Answer:
I am a graduate looking to build my career in a professional operations environment. I am comfortable working with computers, have good attention to detail, and can learn new tools and processes quickly. I am also comfortable working toward quality and productivity targets.

2. Why do you want to join Amazon?

Answer:
Amazon provides an opportunity to work in a large technology-driven organization. This role interests me because it provides exposure to AI-supported operations, data auditing, and Amazon’s fulfillment technology environment.

3. What is data auditing?

Answer:
Data auditing is the process of reviewing data or information to check its accuracy, completeness, consistency, and compliance with defined requirements.

4. What is image or video annotation?

Answer:
Image or video annotation involves identifying and marking relevant objects, activities, or information within visual data so that it can be used for analysis, automation, or machine-learning applications.

5. How would you maintain accuracy while reviewing hundreds of videos?

Answer:
I would carefully follow the defined process, maintain concentration, use the available tools correctly, and perform checks whenever necessary. I would focus on both accuracy and productivity without compromising quality.

6. How would you handle a blurry video?

Answer:
I would carefully examine the available visual information, use the permitted tools and context to understand the activity, and provide the most accurate response according to the defined guidelines. If the issue cannot be resolved, I would follow the escalation process.

7. Are you comfortable working night shifts?

Answer:
Yes. I understand that Amazon’s operations run 24×7 and I am comfortable working rotational shifts, including night shifts, according to business requirements.

8. How do you handle repetitive work?

Answer:
I maintain focus by following a structured process and setting small performance goals. I understand that repetitive tasks still require accuracy and consistency.

9. What is more important, quality or productivity?

Answer:
Both are important. However, productivity should not come at the cost of accuracy. I would follow the process carefully while continuously improving my speed and maintaining the required quality standards.

10. Why should we hire you?

Answer:
I am attentive, adaptable, willing to learn, and comfortable working with computer-based tools. I can follow processes carefully, work toward productivity targets, and maintain accuracy in repetitive tasks.

Selection Process

The exact selection stages for Job ID 3134253 are not specified in the listing.

Candidates should be prepared for possible stages such as:

  1. Online application
  2. Resume screening
  3. Assessment or screening
  4. Interview
  5. Document verification
  6. Final selection and onboarding

The actual recruitment process may vary.

About Amazon

Amazon is a global technology and e-commerce company operating across areas including e-commerce, cloud computing, artificial intelligence, logistics, digital services, and robotics.

The GO-AI Operations organization supports Amazon’s robotics and fulfillment technologies using human-in-the-loop operations. Associates review visual data that helps Amazon improve automation and fulfillment-center processes.

Why Consider This Opportunity?

This role may be suitable for graduates looking for a work-from-home opportunity with Amazon and who are comfortable with operational, non-technical work.

The position provides exposure to:

  • AI-supported operations
  • Data auditing
  • Image/video analysis
  • Amazon Robotics
  • Fulfillment-center technology
  • Quality and productivity processes
  • Remote team collaboration
  • Large-scale operational workflows

Important Details

  • Company: Amazon
  • Role: Associate, ML Data Operations
  • Team: GO-AI Operations
  • Job ID: 3134253
  • Qualification: Bachelor’s Degree
  • Work Mode: Work From Home / Virtual
  • Contract: 6 Months
  • Work Environment: 24×7
  • Shift: Rotational
  • Night Shifts: May be required
  • Weekly Off: 2 consecutive rotational days
  • Locations: Bengaluru, Hyderabad, Chennai, Mumbai & Andhra Pradesh
  • Salary: Not Disclosed

Final Summary

Amazon Work From Home Hiring 2026 – Associate, ML Data Operations is a non-technical operations opportunity supporting Amazon Robotics and GO-AI Operations.

The role involves reviewing short fulfillment-center videos, identifying activities and product locations, maintaining accuracy, and supporting Amazon’s automation systems through human-led data auditing.

Candidates must have a Bachelor’s Degree and be comfortable with rotational shifts, including night shifts, a 24×7 operating environment, productivity targets, and a 6-month contract. The role is offered virtually across multiple Indian locations.
Frequently Asked Questions

1. Is the Amazon Associate ML Data Operations role work from home?

Yes. Job ID 3134253 is listed with virtual locations, including Bengaluru, Hyderabad, Chennai, Mumbai and Andhra Pradesh.

2. What is the qualification?

Candidates must have a Bachelor’s Degree.

3. Is this a technical job?

No. The listing describes the position as a non-technical operational role.

4. What is the contract duration?

The role requires willingness to work for a 6-month contract duration.

5. Are rotational shifts required?

Yes. Associates work in a 24×7 environment and must be comfortable with rotational shifts, including night shifts.

6. How many hours is the shift?

The role has a 9-hour shift including scheduled breaks, with approximately 6.8–7 hours spent answering video tasks.

7. Is night-shift allowance available?

Amazon states that night-shift allowance will be provided according to the applicable Amazon work policy.

8. Can remote employees be asked to come to the office?

Yes. Associates working from home should be ready to come to the office for a few days when required.

9. What does an Associate do in this role?

The Associate reviews image/video data from fulfillment-center activities and uses Amazon’s tools and human judgment to identify and mark relevant information accurately.

10. What is the salary?

The official job listing does not disclose the salary/CTC.

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