Amazon work from home is hiring for the Associate, ML Data Operations – GO-AI Operations role, offering an opportunity for graduates interested in non-technical operations, video auditing, and data accuracy. The position supports Amazon Robotics and Fulfillment Technologies by reviewing videos and images to help improve inventory accuracy and automated stowing processes.
The role is suitable for candidates who have completed a bachelor’s degree, can maintain high levels of concentration, and are comfortable working with productivity and quality targets. The official listing includes virtual locations in India, including Bangalore, Hyderabad, Chennai, and other locations.
Amazon Recruitment 2026 – Job Overview
| Job Detail | Information |
|---|---|
| Company | Amazon |
| Job Role | Associate, ML Data Operations |
| Team | GO-AI Operations |
| Job ID | 3134253 |
| Qualification | Bachelor’s Degree |
| Experience | Freshers may apply if they meet the listed requirements |
| Work Mode | Work From Home / Virtual, subject to location and hiring approval |
| Locations | Bangalore, Hyderabad, Chennai and other listed locations |
| Job Type | Non-technical operational contract |
| Contract Duration | 6 months |
| Work Schedule | Rotational shifts, including night shifts |
| Shift Duration | 9 hours, including scheduled breaks |
| Weekly Offs | Two consecutive rotational days off, subject to business requirements |
| Salary | Not disclosed in the supplied official listing |
| Official Application | Amazon Careers |
About Amazon
Amazon Work From Home is a global technology and e-commerce company operating across online retail, cloud computing, logistics, artificial intelligence, and robotics.
Its GO-AI Operations team supports machine-learning initiatives through human-reviewed data. Associates help ensure that images and videos used in operational workflows are accurately labelled and reviewed, contributing to better automation and inventory management.
Job Description
As an Associate in ML Data Operations, you will review short videos showing product-stowing activities in fulfilment centres. You will use judgement and internal tools to identify activities and verify or mark product locations accurately.
This is a non-technical operational role, rather than a software development or machine-learning engineering position. The work supports the quality of data used in Amazon’s automated fulfilment processes.
Roles and Responsibilities
- Review video and image data related to product-stowing activities.
- Identify product locations and mark them using the assigned tools.
- Audit visual data carefully to maintain accuracy.
- Follow established quality, productivity, and process guidelines.
- Meet daily performance targets while maintaining consistent quality.
- Identify details in unclear or less-sharp videos.
- Follow scheduled breaks and operational procedures.
- Work effectively with remote teams and supervisors.
- Participate in virtual meetings and keep the laptop camera on when required.
- Maintain confidentiality of work-related data.
Eligibility Criteria
Candidates should meet the following basic requirements:
- Must hold a bachelor’s degree.
- Must be willing to work in a non-technical operational role.
- Must be comfortable reviewing large volumes of video and image data.
- Must demonstrate strong attention to detail and concentration.
- Must be willing to work towards quality and productivity targets.
- Must be flexible to work rotational shifts, including nights, weekends, and holidays when required.
- Must be comfortable collaborating with remote teams.
The official listing specifies a bachelor’s degree as the basic qualification. Check the application page for any additional requirements or location-specific conditions.
Work From Home Details
This role includes virtual work locations, but candidates should confirm that their selected location and hiring offer are approved for remote work.
Candidates working from home must maintain:
- A dedicated workspace with a table and chair.
- Adequate lighting for working.
- A private workspace where unauthorised people cannot access work-related data.
- Availability to attend office visits when required.
- The ability to participate in virtual meetings and follow company security policies.
Work Schedule and Shifts
Amazon describes the role as operating in a 24/7 environment.
- Shift length: 9 hours, including scheduled breaks.
- Video auditing time: Approximately 6.8–7 hours per day.
- Shift rotation: Timings may change every 3–4 months or according to business needs.
- Weekly offs: Two consecutive rotational days off, not necessarily Saturday and Sunday.
- Night shifts: Night-shift allowance may apply according to Amazon’s policy.
Candidates should be comfortable with this schedule before applying.
Salary and Benefits
The supplied official job description does not specify the exact salary or contract compensation. Candidates should confirm the pay structure, applicable allowances, and other terms directly through Amazon’s recruitment process.
Do not treat salary estimates published by third-party websites as guaranteed compensation.
How to Apply for Amazon ML Data Operations Jobs
Follow these steps to apply:
- Open the official Amazon Careers listing.
- Review Job ID 3134253 and check the current application status.
- Confirm the location and whether the role is available as a virtual position for your area.
- Sign in to your Amazon Jobs account or create one if required.
- Complete the application form with accurate details.
- Submit your application and monitor your registered email for updates.
Apply through the official link: Click here
Frequently Asked Questions
1. Is Amazon hiring for ML Data Operations in 2026?
Amazon’s careers website lists the Associate, ML Data Operations – GO-AI Operations role. Check the official listing for current availability.
2. Is this a work-from-home job?
The listing includes virtual locations. Remote eligibility depends on the location and hiring arrangement, so confirm the details on the official application.
3. What is the educational qualification?
A bachelor’s degree is the basic qualification stated in the official job description.
4. Can freshers apply?
The listing requires a bachelor’s degree and does not specify prior work experience as a basic qualification. Graduates without experience can review the listing and apply if they meet all requirements.
5. Is this a technical job?
No. It is a non-technical operational role involving video and image auditing, accuracy checks, and data verification.
6. What is the contract duration?
The supplied job description specifies a six-month contract.
7. Are night shifts required?
Candidates must be willing to work rotational shifts, including night shifts. Schedules may change according to business requirements.
8. What is the salary?
The exact compensation is not disclosed in the supplied official listing. Confirm it through Amazon’s recruitment process.
9. Is office attendance required for remote employees?
Yes, remote employees may be asked to visit an office for a few days when required.
10. How can I apply safely?
Apply through the official Amazon Jobs website. Never pay recruitment fees or share sensitive personal or banking information with unverified recruiters.
Conclusion
Amazon’s Associate, ML Data Operations – GO-AI Operations role may suit graduates looking for a non-technical opportunity in data auditing and robotics operations. Candidates should assess the six-month contract, productivity targets, rotational shifts, and work-from-home conditions before applying.
