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Amazon Associate, ML Data Operations – GO-AI Operations Recruitment 2026
Amazon has announced an opportunity for the position of Associate, ML Data Operations – GO-AI Operations under its Amazon Development Centre India (ADCI) team in Maharashtra. This role is part of Amazon’s operations supporting automation in its robotics-enabled fulfilment centres.
Selected associates will review short videos and images of product-stowing activities, use internal tools to verify product locations, and help maintain inventory and stowing accuracy. The position involves image and video auditing, attention to detail, productivity targets, and quality checks. It is an operational, non-technical role offered for a contract duration of six months.
Candidates with a bachelor’s degree who are comfortable working in rotational shifts, including night shifts, may review the eligibility requirements and submit their applications through Amazon’s official careers portal.
Amazon Job Details – Overview
| Company Name | Amazon |
| Job Role | Associate, ML Data Operations – GO-AI Operations |
| Job ID | 3134249 |
| Qualification | Bachelor’s Degree |
| Eligible Batch | Any Recent Batches (specific passing years are not mentioned in the job description) |
| Salary/Stipend | As per Company Standards |
Job Location: Maharashtra (ADCI – Maharashtra – D80)
Contract Duration: 6 months
Work Arrangement: Work-from-home arrangements may apply to selected associates; office visits may be required when requested.
Experience: Not specified by the company.
Job Type: Contract role (6 months).
Shift: Rotational shifts, including night shifts, in a 24×7 operational environment.
Eligibility Criteria
Applicants interested in the Amazon Associate, ML Data Operations position should meet the following requirements:
- Educational Qualification: Candidates must have a bachelor’s degree.
- Video and Image Auditing: Ability to review image, video, and text-based tasks carefully.
- Attention to Detail: Ability to identify product and activity details, including in blurry or less-sharp videos.
- Accuracy and Productivity: Willingness to work towards quality and productivity targets.
- Shift Flexibility: Comfortable working rotational shifts, including night shifts, weekends, and holidays as required.
- Contract Commitment: Willingness to work in a non-technical operational role for the six-month contract duration.
- Teamwork: Ability to collaborate with remote teams and maintain consistent performance.
The detailed job description does not specify particular passing years, a minimum percentage, or a specific degree specialization. Applicants should review the official application page for any additional requirements.
Skills Required
This is primarily an operational data-auditing position rather than a software development role. The following abilities are relevant to the responsibilities described by Amazon:
- Strong visual observation and attention to detail.
- Ability to understand short video clips and identify the activity shown.
- Accuracy while reviewing images, videos, and text-based tasks.
- Comfort with repetitive screen-based work and sustained concentration.
- Ability to meet defined quality and productivity targets.
- Time management and adherence to scheduled breaks.
- Flexibility to work in rotational shifts.
- Team collaboration and consistent communication.
- Willingness to follow operational guidelines and data privacy practices.
Roles and Responsibilities
As an Associate in Amazon’s GO-AI Operations team, selected candidates will support fulfilment centre automation by auditing visual data and helping maintain stowing quality.
- Video Auditing: Watch short videos, typically around 15–20 seconds, showing product-stowing activities at Amazon fulfilment centres.
- Activity Identification: Understand the activity captured in each video and provide the appropriate response using human judgement and available tools.
- Product Location Verification: Verify or mark product locations through the designated internal tools.
- Image and Text Auditing: Review image, video, and text-based tasks with a high degree of accuracy.
- Quality and Productivity: Work towards assigned targets for accuracy, speed, and acceptable operational practices.
- Defect Reduction: Help improve stowing quality and inventory accuracy by identifying and auditing visual data correctly.
- Process Compliance: Follow predefined break schedules, work guidelines, and data security requirements.
- Performance Improvement: Participate in performance evaluation and coaching activities where required.
Work Schedule and Work-from-Home Requirements
Amazon operates this team in a 24×7 environment. Associates work in a nine-hour shift that includes pre-scheduled breaks. Shift timings may change every three to four months or according to business requirements.
- Associates are expected to spend approximately 6.8 to 7 hours per day answering video-auditing tasks.
- Weekly offs are generally two consecutive days on a rotational basis, subject to business discretion.
- Night-shift allowance will be provided according to Amazon’s applicable work policy when an associate works a night shift.
- Associates working from home must maintain a dedicated workspace with a table, chair, and sufficient lighting.
- Work-related data and the workspace must not be accessed by anyone other than the employee.
- Work-from-home associates may be required to visit the office for a few days when requested.
- Employees should be willing to switch on their laptop camera during virtual meetings.
Important: The job description mentions work-from-home requirements for associates hired to work remotely. It does not confirm that every selected candidate will receive a permanent work-from-home arrangement.
Salary Insights
Amazon has not disclosed a specific salary or compensation figure in the provided job description for the Associate, ML Data Operations role. Compensation should therefore be treated as As per Company Standards until confirmed by the employer.
Applicants should verify the compensation structure, applicable allowances, contract terms, and other employment conditions through the official recruitment process. Night-shift allowance is mentioned in the job description for associates working night shifts, subject to Amazon’s applicable policy.
Before accepting an offer, fresh graduates can understand the difference between total compensation and take-home pay through this CTC vs In-Hand Salary Guide for Freshers. You can also learn how salary components are presented in a salary slip with this beginner-friendly guide.
Career Resources for Freshers
Preparing for an operational role at a global company can be a useful opportunity to understand workplace expectations and build professional skills. Explore these resources from NextGen Careers Hub to make informed career decisions:
- Highest-Paying Finance Jobs in India – Explore career options and earning potential in the finance sector.
- Personal Finance Guide for Freshers – Learn budgeting and financial planning basics when starting your career.
- Top Private Bank Jobs for Freshers in India – Discover opportunities in banking and financial services.
- Highest-Paying Cloud Jobs in India – Understand career paths in cloud computing.
- Highest-Paying Jobs Without Coding in India – Explore non-programming career options, including operational and business roles.
- Highest-Paying IT Companies in India for Freshers – Learn about major employers and fresher opportunities.
- Highest-Paying Skills in 2026 – Identify skills that can support long-term career growth.
- AI Engineer Roadmap – Explore a learning path for candidates interested in artificial intelligence careers.
- Resume Tips for Freshers – Learn what to include and avoid when preparing your first professional resume.
- How to Crack HR Rounds as a Fresher – Prepare for common HR interview discussions.
- Top Interview Mistakes to Avoid – Identify common interview errors and improve your preparation.
- STAR Method Explained – Structure clear answers to behavioural interview questions.
- Top 50 Logical and Tricky Interview Questions with Answers – Practise reasoning and problem-solving questions.
How to Apply for Amazon Associate, ML Data Operations?
Interested and eligible candidates can apply online through Amazon’s official careers website. Follow these steps:
- Visit the official Amazon job application page using the link below.
- Review the complete job description, qualification requirements, and contract conditions.
- Sign in to your Amazon Jobs account or create an account if you are a new applicant.
- Enter your personal, educational, and other required details accurately.
- Upload your updated resume if requested during the application process.
- Review your application and submit it through the official portal.
- Keep checking your registered email and Amazon Jobs account for recruitment updates.
Official Job ID: 3134249
Important Tips for Applicants
- Read the complete job description before applying, especially the six-month contract requirement.
- Be prepared to explain your willingness to work in rotational shifts, including night shifts and weekends.
- Practise observing short video clips and identifying details accurately.
- Understand that this is a non-technical operational role involving repetitive video and image auditing tasks.
- If applying for a work-from-home arrangement, ensure you can maintain a dedicated and secure workspace.
- Keep your resume updated with accurate educational and personal information.
- Apply only through Amazon’s official careers website and never pay anyone for a job offer or interview.
Frequently Asked Questions (FAQs)
1. What is the job role offered by Amazon?
Amazon is hiring for the position of Associate, ML Data Operations – GO-AI Operations. The role involves reviewing videos and images of product-stowing activities and helping maintain fulfilment centre accuracy.
2. What is the educational qualification required for Amazon ML Data Operations?
According to the job description, candidates must have a bachelor’s degree. No specific degree specialization or minimum percentage is mentioned in the provided eligibility criteria.
3. Is Amazon Associate, ML Data Operations a technical or non-technical job?
This is a non-technical operational role. Associates primarily perform video, image, and text-based auditing tasks using internal tools rather than software development activities.
4. Is this an Amazon work-from-home job?
The job description mentions work-from-home arrangements for associates hired remotely. However, it does not confirm that all selected candidates will work remotely. Work-from-home associates may also be required to visit the office when requested.
5. What is the contract duration and shift schedule for this position?
The role has a six-month contract duration. Associates work in a 24×7 environment with rotational nine-hour shifts, including pre-scheduled breaks. Night shifts, weekends, and rotational weekly offs may apply.
Disclaimer
This job information has been prepared for informational purposes based on the job description available on Amazon’s official careers website. Recruitment details, eligibility conditions, compensation, work arrangements, and application status may change at the employer’s discretion. Candidates should verify all information on the official Amazon Jobs portal before applying. NextGen Careers Hub is not affiliated with Amazon and does not guarantee selection or employment.
