Understand the Job Role
Carefully read the job description and Understand the responsibilities, expectations, and required qualifications.
Match Your Skills:
Compare your skills and experience with the requirement of Job.If it Matches then go and apply for the role.
Check Your Eligibility:
Check if you meet the educational and experience criteria before applying to avoid the rejections.
Be Ready With Your Documents:
Update your resume and cover letter to align with the job. Highlight your most relevant skills and experiences to make your application better.
Amazon Associate ML Data Operations Recruitment 2026
Amazon is hiring for the position of Associate, ML Data Operations, GO-AI Operations under ADCI – Maharashtra – D80
This opportunity is part of Amazon’s GO-AI Operations organization, which supports Amazon Robotics and Fulfillment Center technologies through human-assisted data auditing and visual verification
The team works with Amazon’s internal fulfillment technologies and robotics teams to support automation in Amazon Fulfillment Centers
The role involves reviewing and auditing image and video data generated from fulfillment center activities and providing accurate responses using Amazon’s internal tools and resources
Associates will be required to watch videos of stowing activities, understand what is happening in each video and identify or verify the location of products and activities captured in the footage
The work plays an important role in improving fulfillment center accuracy and supporting Amazon’s automation systems
This is primarily an operational and non-technical role, making it potentially suitable for graduates who are interested in AI operations, data operations, data annotation, image and video auditing and machine learning workflows without requiring advanced programming skills
About Amazon GO-AI Operations
Amazon’s GO-AI Operations teams provide human support for automated systems used across Amazon Fulfillment Centers
The Data Auditing Operations team works with videos and images associated with fulfillment activities
These videos are reviewed by human associates to help verify actions and improve the accuracy of automated systems
The human-reviewed information contributes to Amazon’s efforts toward hands-free active stowing and improved fulfillment center operations
The videos handled by associates are generally short, typically around 15 to 20 seconds, but associates may be required to review several hundred videos during a shift
The role therefore requires strong concentration, attention to detail, accuracy and the ability to maintain consistent productivity throughout the working day
Job Responsibilities
The Associate will be responsible for reviewing video and image-based tasks generated through Amazon’s fulfillment operations
Watch several hundred videos during a shift and carefully understand the activity captured in each video
Use human judgment together with Amazon-provided tools and resources to determine the correct response
Verify or mark the location of products shown in fulfillment center videos
Audit image and video-based tasks accurately according to defined guidelines and procedures
Identify relevant details from videos that may be blurry, unclear or less sharp
Maintain a high level of accuracy while reviewing visual information
Provide responses within the required productivity and quality targets
Follow standard operating procedures and acceptable work practices throughout the process
Maintain consistent performance against assigned quality and productivity goals
Work toward incremental targets and continuously improve performance
Take scheduled breaks at the predefined time slots
Ensure approximately 6.8 to 7 hours of productive time per day is spent answering and auditing videos
Maintain the required quality standards while working at the expected speed
Support defect reduction within Amazon Fulfillment Center operations through accurate auditing
Participate in performance improvement activities and coaching whenever required
Work effectively with remote teams and communicate with team members as necessary
Follow all applicable data security and confidentiality requirements
Ensure work-related information is not accessed by unauthorized individuals
Be willing to attend an Amazon office for a few days when required by business needs
Keep the laptop camera switched on during virtual meetings when requested
What Does an Associate Do?
The Associate is responsible for reviewing videos captured during fulfillment center activities
A typical task involves watching a short video showing a stowing action and determining what happened in that video
The Associate must understand the activity and use Amazon’s tools to provide the appropriate response
The work requires careful visual observation because some videos may contain unclear, blurry or less-sharp footage
The Associate must identify important details and provide the correct response while maintaining both accuracy and speed
Because the team supports Amazon’s automated fulfillment technologies, accurate human auditing is important for improving the overall effectiveness of the automated process
Data Auditing Responsibilities
Review short-duration videos generated from Amazon fulfillment center activities
Identify products and their locations within the video
Verify stowing activities using the appropriate Amazon tools
Follow the prescribed auditing guidelines
Maintain high accuracy while processing a large volume of videos
Identify defects and inconsistencies in visual information
Provide accurate responses within defined productivity targets
Follow quality standards and process-level requirements
Maintain consistent performance throughout the shift
Work From Home Requirements
Candidates selected for virtual or work-from-home positions must maintain a dedicated workspace
The workspace should include a proper table and chair
The work area should have sufficient lighting for the employee to perform the job comfortably
Work-related information must be protected from unauthorized access
No other person should access the employee’s work-related data or workspace information
Candidates should have a suitable environment that allows them to concentrate on video and image auditing tasks
Employees working remotely may be required to visit an Amazon office for a few days whenever business requirements demand it
Candidates must also be comfortable participating in virtual meetings and switching on their laptop camera when required
Working Hours and Shift Details
Amazon’s GO-AI Operations team operates in a 24x7 environment
Associates will work in rotational shifts depending on business requirements
The normal shift duration is approximately 9 hours including scheduled breaks
Shift timings can change every 3 to 4 months or according to business requirements
Candidates must therefore be comfortable working across different shift timings
The role can include night shifts
Employees working night shifts may receive a night shift allowance according to Amazon’s applicable work policy
Candidates should be comfortable working during weekends and holidays whenever their assigned shift requires it
Weekly Off
The position follows a 5-day working week
Employees receive 2 consecutive days off
The weekly offs are rotational
The two weekly offs are not necessarily Saturday and Sunday
The weekly schedule may change according to business requirements
Eligibility Criteria
Candidates must have a Bachelor’s Degree
Fresh graduates can consider applying for the opportunity if they satisfy Amazon’s recruitment requirements
Candidates must be willing to work in a non-technical operational position
Candidates must be comfortable with the 6-month contract duration
Candidates should have the ability to work with image, video and text-based tasks
Candidates should have strong attention to detail
Candidates should be able to identify details from blurry or less-sharp videos
Candidates must be comfortable spending extended periods working on a computer screen
Candidates should be willing to work toward incremental quality and productivity targets
Candidates should be comfortable working in rotational shifts
Candidates should be willing to work night shifts when assigned
Candidates should be comfortable working with remote teams
Candidates should demonstrate good teamwork and collaboration
Preferred Qualifications
Amazon prefers candidates who are flexible regarding their work schedule and shift
Candidates should be comfortable working weekends, nights and holidays when required
Candidates should be able to adapt to changing business requirements
Candidates should be comfortable working in a fast-paced environment
Candidates should be able to maintain accuracy while processing a high volume of tasks
Skills Required
Strong attention to detail
Good visual observation skills
Ability to identify information from images and videos
Ability to distinguish relevant details from unclear or blurry footage
Good concentration and focus
Strong accuracy
Ability to maintain productivity
Ability to follow standard operating procedures
Good analytical and logical thinking
Ability to work independently under general supervision
Good communication skills
Teamwork and collaboration
Time management
Ability to work in rotational shifts
Ability to work under performance-based quality and productivity requirements
Is Coding Required?
The job description does not list programming or coding as a basic qualification
This is primarily an operational role involving image and video auditing
Candidates do not need to treat this as a conventional software development or programming position
The role is more closely related to data operations, AI operations, visual auditing, data annotation and machine learning support
Contract Duration
Candidates must be willing to work in this non-technical role for a 6-month contract duration
The job listing specifically mentions the requirement for candidates to be willing to work for the contract period
Candidates should carefully review the employment terms provided during the Amazon recruitment and onboarding process
Job Locations
Hyderabad, Telangana – Virtual
Bangalore, Karnataka – Virtual
Chennai, Tamil Nadu – Virtual
Mumbai, Maharashtra – Virtual
Andhra Pradesh – Virtual
The position is listed as a virtual opportunity for the locations mentioned above
A Day in the Life at Amazon
Associates work in a 24x7 operational environment
A typical working day involves logging into the required systems and reviewing a large number of short videos
The Associate watches each video carefully and determines the activity shown
The Associate then provides the appropriate response using the available Amazon tools
Associates may review several hundred videos during a single shift
Performance is measured based on factors such as accuracy, quality, productivity and adherence to acceptable work practices
Employees receive predefined break slots during their shifts
Approximately 6.8 to 7 hours of the working day is expected to be spent actively answering video tasks
Employees are expected to maintain consistent performance and meet assigned quality and productivity targets
About the Data Auditing Operations Team
Amazon’s Data Auditing Operations team provides human support to Amazon Fulfillment Centers
The team’s objective is to help enable hands-free active stowing through visual audits of videos and images
Videos containing information about products being stored at fulfillment centers are sent to the operations team
Human associates thoroughly review these videos using their best judgment
The information generated through these human audits helps Amazon improve automated fulfillment processes
The audited videos and associated information can be used to improve the effectiveness of automated systems
Associates may also receive performance feedback and coaching to improve their accuracy and productivity
Why This Role Is Related to AI and Machine Learning
Although this is not a traditional Machine Learning Engineer role, the position works within Amazon’s GO-AI Operations organization
Human-generated auditing data supports automated fulfillment technologies and Amazon Robotics
The work involves reviewing visual information that can be used to improve automated systems
This makes the position relevant to areas such as
AI Operations
Machine Learning Operations
Data Operations
Data Annotation
Data Labeling
Computer Vision Operations
Image Auditing
Video Auditing
AI Data Processing
Amazon Robotics
Fulfillment Automation
Important Details
Company: Amazon
Hiring Organization: ADCI – Maharashtra – D80
Job Title: Associate, ML Data Operations, GO-AI Operations
Job ID: 3134249
Department: Machine Learning Science
Qualification: Bachelor’s Degree
Experience: Entry Level / Freshers
Role Type: Non-Technical Operations
Contract Duration: 6 Months
Work Mode: Virtual / Work From Home
Working Environment: 24x7
Shift: Rotational
Night Shift: Applicable
Working Days: 5 Days
Weekly Off: 2 Consecutive Rotational Days
Locations: Hyderabad, Bangalore, Chennai, Mumbai, Andhra Pradesh
Programming: Not specified as a requirement
Amazon Hiring 2026 FAQs
What is the Amazon job role?
The position is Associate, ML Data Operations, GO-AI Operations
What is the Amazon Job ID?
The Job ID is 3134249
What qualification is required for Amazon Associate ML Data Operations?
Candidates must have a Bachelor’s Degree
Is this Amazon job suitable for freshers?
The listing does not specify prior experience as a basic qualification, so eligible graduates can consider the opportunity
Is this a technical job?
No, the listing describes the position as a non-tech role
Is coding required?
Coding is not listed among the basic qualifications
Is this a work-from-home opportunity?
Yes, the job lists several locations as Virtual, including Hyderabad, Bangalore, Chennai, Mumbai and Andhra Pradesh
Is the Amazon role permanent?
The job description states that candidates must be willing to work in a non-tech role for a contract duration of 6 months
What is the contract duration?
The contract duration mentioned in the job description is 6 months
What is the working schedule?
It is a 5-day working week with 2 consecutive rotational days off
Are night shifts required?
Yes, candidates must be willing to work in rotational shifts including night shifts
Is night shift allowance provided?
Amazon states that night shift allowance will be provided according to its applicable work policy
How many hours does an Associate work?
The shift is approximately 9 hours including scheduled breaks
How many videos will an Associate review?
Associates may be required to watch several hundred videos during a shift
What type of videos are reviewed?
The team reviews short videos showing fulfillment center activities, particularly stowing actions
How long are the videos?
The job description states that these videos are typically around 15 to 20 seconds
What skills are required?
Attention to detail, concentration, accuracy, visual observation, productivity, teamwork and the ability to follow procedures are important
Can candidates work from home?
Yes, the position includes virtual locations, but employees must maintain a dedicated workspace and follow Amazon’s work-from-home requirements
Can someone else use the work-from-home setup?
Amazon states that workspace and work-related data should not be accessed by anyone other than the employee
Will work-from-home employees ever need to visit an office?
Yes, the listing states that employees working from home should be ready to come to the office for a few days when required
Is this a Machine Learning Engineer position?
No. Although it belongs to Amazon’s Machine Learning Science organization and GO-AI Operations, this specific role is an operational data auditing position rather than a Machine Learning Engineer role
Is this a Data Annotation job?
The work involves human auditing of image and video data and is closely related to data annotation and data labeling workflows
Does Amazon charge money for recruitment?
No. Amazon states that it never asks for fees or deposits during the recruitment process
Who should apply?
Graduates who are comfortable with visual auditing, repetitive computer-based work, rotational shifts, productivity targets and work-from-home requirements can consider this opportunity
📢 Share this post with friends or peers who might benefit from it!
For more updates on tech job opportunities, follow us on LinkedIn, Telegram, and Instagram.
Jobseekers Hub
📧 For job alerts and queries: contact@jobseekershub.co.in
📲 Join our Telegram Channel for Instant Job Notifications!
📲 Join Our Community for Instant Notifications:






