Amazon has announced an opening for the position of Associate, ML Data Operations, GO-AI Operations. The role is part of Amazon’s Data Auditing Operations team, which supports fulfillment centers and robotics technologies through image and video auditing.
The position is suitable for candidates who have completed a bachelor’s degree and are interested in an operational role involving video and image analysis. The job requires strong attention to detail, accuracy, productivity, and the ability to work in rotational shifts.
Amazon Associate, ML Data Operations Recruitment 2026
| Details | Information |
|---|---|
| Company | Amazon |
| Position | Associate, ML Data Operations, GO-AI Operations |
| Job ID | 3134253 |
| Job Type | Contract, 6 months |
| Degree Required | Bachelor’s Degree |
| Role Type | Non-Tech / Operations |
| Work Environment | Remote/Office as applicable |
| Shift | Rotational, including night shifts |
| Work Week | 5 days |
| Weekly Off | 2 consecutive rotational days |
| Location | As mentioned in the official job posting |
| Employer | ADCI – Karnataka – A66 |
About the Role
The Associate, ML Data Operations role supports Amazon’s internal fulfillment technologies and robotics teams.
Amazon uses image and video data from fulfillment centers to improve automation and maintain inventory accuracy. Associates review short videos of stowing activities and use dedicated tools to identify and verify the location of products.
The videos are generally around 15 to 20 seconds long. Associates are expected to carefully review each video and provide the correct response based on the activity shown.
This is an operational position rather than a software development or machine learning engineering role.
Key Responsibilities
Selected candidates will be responsible for:
- Watching and auditing several hundred videos during a shift.
- Reviewing image and video-based tasks accurately.
- Identifying product locations and stowing activities.
- Using internal tools to verify or mark product locations.
- Maintaining high accuracy while meeting productivity targets.
- Identifying details in blurry or less-sharp videos.
- Following defined quality and operational guidelines.
- Meeting incremental quality and productivity goals.
- Maintaining consistent performance.
- Working effectively with remote and distributed teams.
- Taking breaks according to predefined schedules.
- Spending approximately 6.8 to 7 hours per day answering video tasks.
Work From Home Requirements
Candidates working from home are expected to maintain a suitable dedicated workspace.
The workspace should have:
- A dedicated table and chair.
- Sufficient lighting.
- A suitable environment for focused work.
- Restricted access to work-related information and data.
Work-related data should not be accessed by anyone other than the employee.
Candidates may also be required to visit an Amazon office for a few days when business requirements call for it.
Working Hours and Shifts
Amazon’s Data Auditing Operations team works in a 24×7 environment.
Associates generally work a 9-hour shift that includes scheduled breaks. Shift timings can change every 3 to 4 months or according to business requirements.
Candidates should be comfortable working:
- Day shifts
- Evening shifts
- Night shifts
- Rotational shifts
- Weekends and holidays when required
Amazon states that night-shift allowance will be provided according to the applicable company policy.
The position generally follows a 5-day working week with 2 consecutive days off. The weekly offs may be rotational and are not necessarily Saturday and Sunday.
Candidate Requirements
Amazon expects candidates to demonstrate the following abilities:
- Strong attention to detail.
- Ability to review image and video-based tasks.
- Ability to identify information from blurry or low-quality videos.
- Good concentration while working on a screen.
- Ability to maintain accuracy at high speed.
- Willingness to work toward quality and productivity targets.
- Ability to work in rotational shifts.
- Ability to work as part of a remote team.
- Good teamwork and communication.
- Willingness to work in a non-technical operational role for the 6-month contract period.
- Willingness to switch on the laptop camera during virtual meetings when required.
Educational Qualification
The basic qualification mentioned by Amazon is:
- Bachelor’s degree from a recognized institution.
The job description does not require a specific technical degree or programming language for this position.
Is This a Technical ML Job?
Despite the “ML Data Operations” title, this position is primarily an operational data auditing role.
The work involves reviewing videos and images that support Amazon’s machine learning and automation systems. Associates provide human-verified information that can help improve automated fulfillment processes.
Candidates should therefore understand that this is different from roles such as:
- Machine Learning Engineer
- Data Scientist
- Software Development Engineer
- AI Engineer
Programming or advanced machine learning skills are not listed as basic requirements in the provided job description.
Who Can Apply?
Candidates who have completed a bachelor’s degree can consider applying if they are comfortable with the operational requirements of the role.
This opportunity may be suitable for candidates who:
- Want to start their career with Amazon.
- Are comfortable working with computers for extended periods.
- Have good attention to detail.
- Can work with repetitive video/image auditing tasks.
- Are comfortable with rotational shifts.
- Can meet accuracy and productivity targets.
- Are looking for a short-term contract opportunity.
Selection and Work Expectations
The role places significant importance on three areas:
- Quality
Associates must provide accurate responses while reviewing videos. - Productivity
Associates are expected to process a high volume of video tasks during their shift. - Process Compliance
Associates must follow Amazon’s defined procedures and acceptable work practices.
Performance may be evaluated over time, and associates may receive coaching to improve quality and productivity.
Important Points Before Applying
Before applying, candidates should consider the following:
- This is a 6-month contract role.
- It is primarily an operational position.
- The work involves reviewing a large number of short videos.
- Strong screen focus and attention to detail are important.
- Rotational shifts are part of the role.
- Night shifts may be required.
- Weekly offs can be rotational.
- Work-from-home employees need a dedicated workspace.
- Candidates may need to visit an office when required.
- The role requires consistent quality and productivity.
How to Apply for Amazon Associate, ML Data Operations
Interested and eligible candidates can apply through Amazon’s official careers website.
Application link:
Candidates should carefully review the official job description and eligibility requirements before submitting their application.
Amazon Associate, ML Data Operations Recruitment 2026: FAQs
What is the job title?
The position is Associate, ML Data Operations, GO-AI Operations.
What is the Amazon Job ID?
The Job ID is 3134253.
What is the educational qualification?
A bachelor’s degree is required.
Is this a technical job?
The position is primarily an operational data auditing role. It involves reviewing videos and images to support Amazon’s fulfillment automation and machine learning systems.
Is this a permanent position?
The job description states that candidates should be willing to work in a non-tech role for a contract duration of 6 months.
Are night shifts required?
Candidates should be comfortable working rotational shifts, including night shifts.
How many days do employees work?
The position follows a 5-day working week with 2 consecutive days off, subject to business requirements.
Can work-from-home candidates apply?
The job description includes requirements for associates working from home. Such employees must maintain a dedicated workspace and protect work-related data.
Where can I apply?
You can apply through the official Amazon Jobs listing linked above.
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