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Amazon Hiring 2026 – Associate, ML Data Operations, GO-AI Operations

Amazon Hiring 2026 is currently offering an opportunity for Associate, ML Data Operations – GO-AI Operations under Job ID 3134253. The role is a non-technical operational position focused on reviewing and auditing image and video data used to support automation within Amazon fulfillment operations.

According to the official Amazon Jobs listing, the position requires a Bachelor's degree and is offered as a 6-month contract role. The listing includes virtual opportunities associated with locations such as Chennai, Hyderabad, Bangalore and Andhra Pradesh, while Bengaluru is also listed separately. Candidates should verify the available location and work arrangement on the official application page before applying.

Important: This article is based on the Amazon Jobs listing available at the time of checking. Job availability, locations, contract terms and other recruitment details can change. Always verify the latest information on the official Amazon Jobs website before applying.

Job Overview

Company	Amazon
Job Role	Associate, ML Data Operations – GO-AI Operations
Job ID	3134253
Job Type	Contract – 6 months
Experience	Experience not specified in the basic qualification
Qualification	Bachelor's degree
Work Mode	Virtual locations are listed for multiple Indian locations
Locations	Bengaluru, Hyderabad - Virtual, Bangalore - Virtual, Chennai - Virtual and Andhra Pradesh - Virtual
Shift	24x7 environment with rotational shifts, including night shifts
Working Hours	9-hour shift including scheduled breaks
Working Days	5-day working week with two consecutive rotational days off
Salary	Not specified on the official job listing
Job Status	Listed on Amazon Jobs at the time of checking

About the Amazon ML Data Operations Role

This position is part of Amazon's GO-AI Operations function and supports automation used in Amazon fulfillment centers. The work involves reviewing visual data and using human judgment to determine what is happening in fulfillment-center activities.

In practical terms, an Associate may review short videos showing stowing activities and use an internal tool to identify or verify product locations and activities. The purpose of this work is to help maintain data quality and improve the accuracy of automated fulfillment processes.

This is a non-technical operational role. Candidates do not need to approach the position as a programming job. Instead, accuracy, concentration, consistency and the ability to follow process instructions are important for the work.

Key Responsibilities

Based on the official job description, the major responsibilities include:

Review image and video data related to fulfillment-center activities.
Understand the activity shown in the video and provide the appropriate response using available tools and guidelines.
Verify or mark product locations accurately through the designated tool.
Process a large number of short videos during a shift while maintaining required quality and productivity levels.
Identify important details even when videos or images are not perfectly clear.
Follow established processes and acceptable working practices.
Maintain consistent performance against quality and productivity goals.
Work effectively with remote teams and other team members.
Attend office locations when required, where applicable to virtual associates.
Participate in virtual meetings where camera usage may be required.

Skills & Requirements

The official listing does not require programming skills for this role. Candidates should instead be comfortable with detailed, repetitive, accuracy-focused operational work.

Strong attention to detail
Ability to concentrate on video and image-based information
Ability to identify details from less-sharp or blurry videos
Good judgment while following defined guidelines
Ability to work toward quality and productivity targets
Consistency while performing high-volume tasks
Ability to work with remote teams
Good teamwork and professional communication
Willingness to work rotational shifts
Flexibility to work night shifts when required

Eligibility Criteria

A Bachelor's degree is required.
The role is suitable for candidates interested in a non-technical operations position related to data and AI-supported processes.
Candidates should be comfortable working in a 24x7 operational environment.
Willingness to work rotational shifts, including night shifts, is required.
Candidates should be able to maintain concentration while working with image and video-based tasks.
For work-from-home/virtual arrangements, candidates may need a dedicated workspace and must ensure that work-related information is not accessed by other people.

Amazon's official listing specifically states that candidates should be willing to work a flexible schedule or shift, including weekends, nights and holidays where required.

Is This a Work From Home Job?

The Amazon listing includes several locations marked as Virtual, including Hyderabad, Bangalore, Chennai and Andhra Pradesh. This indicates that virtual work arrangements are part of the listed opportunity.

However, candidates should not assume that every applicant will receive the same work arrangement. Amazon also states that associates working from home may need to come to an office for a few days when required.

Candidates working remotely are also expected to maintain a dedicated workspace with a table, chair and sufficient lighting. Work-related data should not be accessible to anyone other than the employee.

A Day in the Life

The role operates in a 24x7 environment. According to the official Amazon listing, associates generally work a 9-hour shift including scheduled breaks.

Shift timings may change periodically based on business requirements. Employees working night shifts may be eligible for a night-shift allowance according to Amazon's applicable work policy.

The working week is described as five working days with two consecutive rotational days off. These days do not necessarily have to be Saturday and Sunday.

Why Consider This Amazon Role?

This opportunity may be relevant for graduates who want to enter a large corporate environment without applying for a conventional software development position. The work provides exposure to data-focused operations supporting automation and Amazon fulfillment technologies.

Candidates can also develop practical workplace skills such as attention to detail, process adherence, productivity management, quality control and working with digital tools.

However, candidates should carefully consider the nature of the job before applying. The position involves reviewing a large number of videos during a shift, maintaining productivity targets and working rotational shifts. It may therefore suit people who are comfortable with focused, screen-based operational work.

Career Growth

Experience in data operations, quality-focused processes and AI-supporting workflows can help candidates build transferable skills for future opportunities in operations, data quality, content review, annotation, process management and related support functions.

The official listing describes this opening as a 6-month contract position. Therefore, candidates should not assume that the contract will automatically become permanent or that promotion is guaranteed. Future opportunities depend on business requirements, performance and available positions.

Interview Preparation Tips

Understand the role: Be prepared to explain why you are interested in a non-technical ML data operations position.
Prepare examples showing attention to detail: Think about situations where you identified an error or maintained accuracy while handling repetitive work.
Be ready for productivity questions: The role involves quality and productivity goals, so explain how you manage time while maintaining accuracy.
Prepare for shift-related questions: Amazon states that the position operates in a 24x7 environment with rotational shifts.
Revise basic computer skills: Be comfortable using a computer, navigating digital tools and following process instructions.
Practise communication: Prepare a clear introduction about your education, experience, strengths and interest in the position.
Understand work-from-home expectations: If applying for a virtual location, be familiar with the requirement for a dedicated workspace and protection of work-related information.

How to Apply for Amazon Associate ML Data Operations

Candidates interested in this position should apply directly through the official Amazon Jobs listing. Avoid applying through unofficial recruiters or websites that ask for payment.

Open the official Amazon Jobs listing for Job ID 3134253.
Review the qualification, location and work-schedule information.
Click the official Apply now option.
Sign in to your Amazon Jobs account or create an account if required.
Complete your candidate profile and provide accurate information.
Review your application carefully before submitting it.
Follow any further instructions provided by Amazon during the recruitment process.

Apply Through Official Amazon Jobs

Important Application & Scam Warning

Job seekers should be careful when responding to recruitment messages received through WhatsApp, Telegram, social media or unofficial websites.

Never pay money to someone promising an Amazon job.
Do not pay registration, interview or processing fees.
Never share OTPs or banking passwords with unknown people.
Do not install suspicious applications sent by unofficial recruiters.
Do not send sensitive personal information to unknown contacts.
Always verify the vacancy through the official Amazon Jobs website.

If someone contacts you claiming to represent Amazon, verify the recruitment information independently before taking any action.

About Amazon

Amazon is a global technology and commerce company operating across areas including e-commerce, cloud computing, logistics, digital services and artificial intelligence. Its fulfillment operations use technology and automation to support the movement and storage of products.

The GO-AI Operations function supports Amazon's use of human insight and data-related processes to improve machine learning and automation systems. This particular position supports visual auditing activities connected with Amazon fulfillment operations.

Frequently Asked Questions

1. What is the Amazon Associate ML Data Operations job?

It is a non-technical operational role where associates review and audit image/video data related to Amazon fulfillment activities and provide accurate responses using designated tools.

2. What is the Amazon Job ID?

The Job ID for this opening is 3134253.

3. What qualification is required?

Amazon lists a Bachelor's degree as the basic qualification for this position.

4. Is this a technical or software development job?

No. Amazon describes the position as a non-technical operational role. The work focuses on visual auditing, accuracy, productivity and following defined processes.

5. Is this job available for work from home?

Amazon lists virtual locations including Hyderabad, Bangalore, Chennai and Andhra Pradesh. However, virtual associates may be required to visit an office when necessary, so candidates should verify the exact arrangement during the application process.

6. Is this a permanent job?

The official listing states that candidates should be willing to work in a non-technical role for a 6-month contract duration.

7. Does the job involve rotational shifts?

Yes. Amazon states that associates work in a 24x7 environment with rotational shifts, including night shifts.

8. How many hours is the work shift?

The official listing describes a 9-hour shift including pre-scheduled breaks.

9. What are the weekly offs?

The role has a five-day working week with two consecutive rotational days off. The days off are not necessarily Saturday and Sunday.

10. Is salary mentioned for this position?

No salary amount is specified on the official Amazon Jobs listing used for this article. Candidates should rely on official Amazon communication for compensation information rather than unofficial salary claims.

11. What skills are important for this role?

Attention to detail, concentration, accuracy, consistency, ability to follow processes, productivity awareness, teamwork and willingness to work rotational shifts are important for this position.

12. Can fresh graduates apply?

Amazon's basic qualification for the listing is a Bachelor's degree and it does not specify prior work experience in the basic qualification. Candidates should still review the complete official listing and application requirements before applying.

Source & Verification

Source: Official Amazon Jobs Page

Job ID: 3134253

Official Job Title: Associate, ML Data Operations, GO-AI Operations

Last Checked: 11 September 2026

Status: Job listing available on Amazon Jobs at the time of checking.

Job openings can close or change without notice. Candidates should check the official Amazon Jobs listing again before submitting an application.

Disclaimer

JobSpot is an independent job information website and is not the employer, recruitment agency or official representative of Amazon. This article is published for informational purposes to help job seekers understand publicly available recruitment information.

Job details, eligibility requirements, locations, contract terms, application procedures and recruitment timelines may change or be withdrawn by the employer without prior notice. Candidates should always verify the latest information directly on the official Amazon Jobs website before applying or sharing personal information.