Associate, ML Data Operations, GO-AI Operations

Amazon is hiring an Associate, ML Data Operations, GO-AI Operations in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Perform precise 2D image segmentation and annotation to train computer vision models for robotic safety systems.

sagemakercvatsagemaker-ground-truth

computer-visionimage-annotationdata-labelingsafety-systemsquality-assurance

The GO-AI Operations team is building the future of workplace safety at Amazon Robotics Fulfillment centers through an advanced AI-powered human detection system rated at SIL2 (Safety Integrity Level 2), achieving up to 99% accuracy in identifying human presence. The team works at the intersection of computer vision and operational safety, processing multi-modal image data — including RGB, thermal, and grayscale feeds — to train and validate ML models that protect associates on the fulfillment floor. As an Associate in this role, you will perform high-quality 2D image annotation, accurately segmenting humans, robots, and carts within defined Regions of Interest (ROI). Your work directly enables the ML pipeline that powers real-time safety decisions, making this a high-impact, metrics-driven operational role where precision and consistency are critical. If you thrive in structured environments, have a sharp eye for detail, and want your work to directly contribute to associate safety at scale, this is the role for you

Key job responsibilities
Perform accurate 2D segmentation and annotation of humans, robots, and carts across RGB and thermal images using annotation tools (e.g., CVAT, SageMaker Ground Truth)
Identify and annotate objects within the defined Region of Interest (ROI), while applying masks outside the ROI as per guidelines
Interpret multi-feed image data (RGB, thermal, grayscale) with high precision, distinguishing between overlapping or partially occluded objects
Maintain high accuracy and productivity metrics aligned with program expectations and weekly targets
Follow standard operating procedures (SOPs) and quality guidelines consistently across all annotation tasks
Review and validate annotations to ensure defect-free outputs, flagging edge cases or ambiguous frames for escalation
Quickly adapt to feedback from quality audits and apply learnings to improve annotation quality in subsequent batches
Participate in training and nesting phases, achieving ramp-up within defined timelines and demonstrating readiness through qualification assessments
Maintain data confidentiality and adhere to security protocols when handling image and video data from fulfillment centers
Collaborate with team leads and quality analysts to support continuous improvement in annotation accuracy and throughput

A day in the life
Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy.

Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.

About the team
The GO-AI Operations team is part of Amazon's Global Operations AI organization, enabling automation and workplace safety at Amazon Robotics Fulfillment centers. The team supports an advanced SIL2-rated human detection system achieving up to 99% accuracy in identifying human presence within robotic work cells. By processing multi-modal image data — RGB, thermal, and grayscale — the team performs high-quality 2D segmentation and annotation of humans, robots, and carts, directly powering the ML models that drive safe, hands-free automation. The team operates in a 24x7, metrics-driven environment where precision and consistency are critical.

Basic qualifications

- Bachelor's degree

Preferred qualifications

- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Associate, ML Data Operations, GO-AI Operations at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Associate, ML Data Operations, GO-AI Operations is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, TS, Hyderabad - Virtual.
The job was posted on October 13, 2026.
Seniority: junior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionImage AnnotationData LabelingSafety SystemsQuality AssuranceSagemakerCvatSagemaker Ground Truth

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where image annotation was part of your work. What did you do?
Tell me about a project where data labeling was part of your work. What did you do?
Tell me about a project where safety systems was part of your work. What did you do?
Tell me about a project where quality assurance was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer vision, Image Annotation, Data Labeling, Safety Systems, and Quality Assurance. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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