Amazon Recruitment 2026 – Associate, ML Data Operations | GO-AI Operations

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

Amazon is inviting applications for the position of Associate, ML Data Operations, GO-AI Operations, under Job ID 3134249. The opportunity is part of Amazon’s Data Auditing Operations team, which supports fulfillment center automation through image and video auditing. Candidates with a bachelor’s degree who are comfortable with detail-oriented operational work, video analysis, and rotational shifts can consider this opportunity.

This is a non-technical operational role offered for a contract duration of six months. Associates will review short videos of product-stowing activities, identify the actions shown, and mark product locations using designated tools. The role provides exposure to Amazon’s fulfillment operations and automation processes, while requiring strong attention to detail, accuracy, productivity, and consistency.

Amazon Associate, ML Data Operations – Job Overview

Company	Amazon
Job Role	Associate, ML Data Operations, GO-AI Operations
Job ID	3134249
Business Unit / Location Code	ADCI – Maharashtra – D80
Job Category	Data Auditing Operations
Qualification	Bachelor’s Degree
Experience	Not specified
Eligible Batch	Not specified
Salary	Not disclosed
Job Type	6-month contract
Work Mode	Work from home may be available for selected associates; office attendance may be required for some days
Shift	Rotational shifts, including night shifts
Working Hours	9-hour shift including scheduled breaks
Working Days	5 days per week, with two consecutive rotational days off
Night Shift Allowance	As per applicable Amazon work policy
Official Application	Amazon Jobs

About Amazon GO-AI Operations

The GO-AI Operations team supports automation at Amazon Robotics Fulfillment Centers. The team works with Amazon’s internal Fulfillment Technologies and Robotics teams by providing real-time and offline data auditing services, including image and video reviews.

One of the team’s important contributions is helping fulfillment centers maintain inventory accuracy and improve stowing quality. Human-reviewed videos and images help support automated processes by providing reliable information about product-stowing activities.

About the Associate, ML Data Operations Role

The Associate will review videos showing product-stowing activities inside Amazon fulfillment centers. After understanding the activity captured in each video, the Associate must use human judgment and the available tools to indicate what happened and verify or mark the product’s location.

This is an operational role rather than a software development or machine learning engineering position. Associates work under general supervision and are expected to complete image and video audits with a high degree of accuracy and speed. Their work contributes to defect reduction, inventory accuracy, and fulfillment center stow quality.

Key Job Responsibilities

• Watch several hundred videos during a shift and provide responses according to defined quality, productivity, and acceptable-practice goals.
• Review video recordings of product-stowing activities at Amazon fulfillment centers.
• Understand the activity shown in each video and use human judgment to identify the correct action.
• Verify or mark product locations using the designated tools.
• Maintain a high level of accuracy while completing image and video audits.
• Identify relevant details even in blurry or less-sharp videos.
• Meet incremental quality and productivity targets.
• Follow predefined break schedules and ensure approximately 6.8 to 7 hours per day are spent answering videos.
• Follow established operational guidelines and acceptable practices.
• Maintain consistent performance in a fast-paced operational environment.
• Participate in performance evaluations and coaching aimed at improving work quality and productivity.

Important Candidate Requirements

Amazon expects candidates to be comfortable with the operational nature of the position and its working conditions. The following expectations are highlighted in the job description:

• Willingness to work in a non-technical role for the full six-month contract duration.
• Ability to audit image-, video-, and text-based tasks.
• Strong attention to detail when reviewing blurry or less-sharp videos.
• Ability to maintain concentration while working on a screen for extended periods.
• Willingness to work toward incremental quality and productivity targets.
• Ability to implement instructions quickly and maintain consistent performance.
• Willingness to work in rotational shifts, including night shifts.
• Ability to work with remote teams and contribute as a team player.
• Readiness to visit the office for a few days when required, if working from home.
• Willingness to switch on the laptop camera during virtual meetings.

Required Qualification

• Basic Qualification: Bachelor’s degree.
• Experience: No specific experience requirement is mentioned in the supplied listing.
• Preferred Flexibility: Candidates should be willing to work flexible schedules, shifts, and work areas, including weekends, nights, and holidays.

Note: The job description does not specify a particular degree stream, graduation year, CGPA cutoff, or backlog requirement. Candidates should check the official application page for any additional eligibility conditions.

A Day in the Life at Amazon GO-AI Operations

Associates work in a 24×7 operational environment with rotational shifts. Each working shift is nine hours long, including prescheduled breaks. Shift timings may change every three to four months or according to business requirements.

During the shift, Associates review a large number of short videos and submit responses based on the required quality and productivity standards. The videos generally have a duration of approximately 15–20 seconds and show product-stowing activities inside fulfillment centers.

Associates must follow predefined break slots and spend approximately 6.8 to 7 hours per day answering videos. Those assigned to night shifts will receive a night shift allowance according to the applicable Amazon work policy.

Work Schedule and Weekly Offs

• Work Environment: 24×7 operational environment.
• Shift Duration: 9 hours, including scheduled breaks.
• Shift Rotation: Timings may change every 3–4 months or according to business requirements.
• Weekly Off: Two consecutive rotational days off.
• Working Week: Five working days per week.
• Weekend Work: Candidates should be flexible to work weekends when scheduled.
• Night Shift: Required as part of rotational shifts; applicable allowance is provided under Amazon policy.

Work From Home Requirements

For Associates hired to work from home, Amazon specifies certain workspace and security requirements. Candidates should be prepared to follow these conditions:

• Maintain a dedicated workspace with a table, chair, and sufficient lighting.
• Ensure that workspace-related and work-related data are not accessed by anyone other than the employee.
• Be ready to visit the office for a few days when required.
• Keep the laptop camera switched on during virtual meetings when requested.

Work from home should not be assumed to be available to every applicant. The applicable work arrangement will depend on the hiring assignment and Amazon’s requirements.

Salary and Benefits

The supplied Amazon job description does not disclose the salary or complete compensation details for the Associate, ML Data Operations position. Candidates should confirm the salary, payment structure, and other applicable benefits during the recruitment process.

The job description specifically mentions that Associates working night shifts will receive a night shift allowance according to Amazon’s applicable work policy. No fixed allowance amount has been provided.

Why Consider This Amazon Opportunity?

This opportunity may suit graduates looking to gain experience with a large technology and e-commerce organization. The role offers exposure to fulfillment center operations, visual data auditing, inventory accuracy processes, and automation support. It can also help candidates develop attention to detail, consistency, time management, and operational discipline. However, applicants should understand that this is a six-month non-technical contract position involving repetitive video-auditing tasks and rotational shifts.

Recommended Preparation

1. Improve Attention to Detail

Practise observing short video clips and identifying actions, objects, and changes accurately. Focus on reviewing details carefully rather than rushing through tasks.

2. Develop Screen-Based Work Stamina

The role involves reviewing several hundred videos during a shift. Candidates should understand the importance of sustained concentration, following scheduled breaks, and maintaining accuracy throughout the working day.

3. Practise Following Instructions

Learn to interpret task instructions carefully and apply the same standards consistently. Accuracy, productivity, and compliance with acceptable practices are important performance expectations.

4. Prepare for Operational Interviews

Be ready to explain how you handle repetitive work, manage time, maintain focus, respond to feedback, and meet daily targets. You can explore these interview preparation resources:

Non-IT Interview Questions and Answers for Freshers

Prepare Your Interview Self-Introduction

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How to Apply for Amazon Associate, ML Data Operations

1. Visit the official Amazon Jobs page using the application link below.
2. Search for the position titled Associate, ML Data Operations, GO-AI Operations.
3. Verify the Job ID: 3134249.
4. Read the complete job description and review the bachelor’s degree requirement, six-month contract duration, shift conditions, and work arrangement.
5. Prepare an updated resume with accurate educational and personal details.
6. Complete the online application through the Amazon Jobs portal.
7. Review the information carefully and submit your application.
8. Monitor your registered email and phone for further communication from Amazon’s recruitment team.

Important: The supplied listing does not mention a salary, application deadline, specific degree stream, or guaranteed work-from-home arrangement. Confirm these details on the official Amazon Jobs page before applying.

Frequently Asked Questions (FAQs)

1. What is the qualification required for Amazon Associate, ML Data Operations?

A bachelor’s degree is the basic qualification mentioned in the supplied job description. A specific degree stream, graduation batch, CGPA cutoff, and backlog condition have not been specified.

2. Is Amazon Associate, ML Data Operations a permanent job?

No. The supplied job description states that candidates must be willing to work in this non-technical role for a contract duration of six months. Applicants should review the official listing for the applicable