Amazon ML Data Associate 2026 in India for Any Graduate (6-Month Contract)

Amazon is hiring graduates for its GO-AI Operations team in India as Associates for ML Data Operations. The role is listed on amazon.jobs as job 3134242, with locations across Hyderabad, Bangalore, Chennai and Mumbai. Read the contract terms and shift pattern carefully before you apply, because this Amazon ML Data Associate role is structured differently from a salaried full-time graduate job.

Quick context: GO-AI stands for Global Operations - Artificial Intelligence. The team's job is to feed reliable training data into the machine learning systems that Amazon uses across fulfilment and logistics. Your work as an associate is to watch videos of warehouse actions and audit them for accuracy. It is structured, repetitive, and metric-driven.

The terms up front

Three things from the Amazon listing that you should read before you spend time on the application:

• It is a 6-month contract, not a full-time salaried role. Amazon's listing calls it a contract employment type with a fixed duration
• Shifts are 24/7 rotational. The job description names 9-hour shifts including breaks, and the role can require working nights, weekends and holidays
• Pace is metric-driven. The listing says you audit several hundred videos per shift and must hit quality and productivity targets that increase over time

None of this is in the headline of competitor sites that have re-posted this role. The Amazon ML Data Associate role is a real entry point and the listing is genuinely open, but the framing on aggregator sites can make it sound like a software engineering position. It is not.

What the work actually involves

From the responsibilities listed by Amazon on the requisition page:

• Watch videos of stowing actions in Amazon fulfilment centres and audit them for accuracy
• Verify or mark the location of products through a labelling tool while maintaining a high level of accuracy
• Watch several hundred videos per shift and respond following quality, speed and practice goals
• Maintain 6.8 to 7 hours of active task time daily, with breaks at pre-defined slots
• Demonstrate the ability to identify details from blurry or low-quality video frames
• Work toward incremental quality and productivity targets that adjust as you ramp

The data your team labels becomes input for the computer-vision models that govern picking, stowing and inventory verification across Amazon's fulfilment network. That makes the work materially important inside Amazon, even though day-to-day it does not feel like ML or engineering work.

Who can apply

Amazon's basic qualification is simple: a bachelor's degree in any discipline. The listing does not name a graduation-year filter. The preferred-qualifications section flags the requirement to "work a flexible schedule/shift/work area, including weekends, nights, and/or holidays", which is a polite way of saying you must accept the rotational-shift terms.

Practical fit checks before you apply:

1. Are you available for 24/7 rotational shifts for 6 months? If you cannot do night shifts, this is not the role
2. Are you comfortable with metric-driven, high-volume video review? The pace is fixed
3. Do you have a quiet, reliable workspace? The listing mentions virtual positions, which usually means work-from-home with strict camera and connectivity requirements

Location and work setup

The Amazon listing names Hyderabad, Bangalore, Chennai and Mumbai as the eligible city pool, with the role itself marked as virtual. That means you are tied to one of those cities for compliance and onboarding even if your day-to-day is from home. The exact home-city policy and any in-office days are confirmed by the recruiter during shortlisting, not on the public listing.

What is not on the listing

A few things the Amazon job page does not state, and which we are not going to fabricate:

• The monthly stipend or hourly rate is not disclosed on the public listing
• The conversion path to a full-time Amazon role at the end of the 6-month contract is not specified on the page
• The exact training period before live targets kick in is not detailed
• The acceptable response-time service-level for individual audits is not detailed

If you want any of these answered, ask during the recruiter screen. Do not assume.

How to apply

The application is direct on amazon.jobs:

1. Open the requisition page (job 3134242, link in the source attribution below)
2. Create or sign in to your Amazon Jobs profile
3. Upload a resume. A clean one-page resume is enough; if you need a template, see the guides on our general graduate hiring hub
4. Answer the screening questions, including the shift availability question, honestly
5. Submit and watch the email registered on your profile for next steps

Quick answers

Is this a permanent Amazon job? No. The Amazon ML Data Associate listing is a 6-month contract role.

Is it work from home? The listing marks the role as virtual, with the city pool being Hyderabad, Bangalore, Chennai or Mumbai. Exact in-office expectations are confirmed during recruitment.

What is the salary? Not disclosed by the company on the public listing.

Do I need engineering or ML experience? No. The basic qualification is a bachelor's degree in any discipline. No prior ML knowledge is required, because the work is data audit, not model building.

Will I get converted to a full-time role? The listing does not promise conversion. Conversion at large recruiters is usually subject to performance and to open positions at contract end.

For more contract and entry-level roles in India, browse graduate openings on Classic Jobs across BPO, data ops and analyst tracks.

Source: Amazon Jobs.