Career Alert: Amazon Hiring for Associate, ML Data Operations (GO-AI Operations) - Work From Home – Apply Now!
Are you looking to break into the world of Artificial Intelligence and Machine Learning without needing a degree in computer science or programming? Amazon is currently hiring for the role of Associate, ML Data Operations (GO-AI Operations)!
This is a fantastic opportunity for fresh graduates and early-career professionals to join Amazon's cutting-edge Robotics and Automation division.
Here is everything you need to know about the role, responsibilities, and how you can apply.
What is Amazon GO-AI Operations?
The GO-AI Operations team is the backbone behind automation at Amazon’s Robotics Fulfillment centers. They serve internal fulfillment technologies by providing real-time and offline data auditing services (images and videos). Essentially, they provide the essential "Human-in-the-Loop" support that trains and refines Amazon’s AI models to enable hands-free active stowing and smart logistics.
Job details 📍
- IND, KA, Bengaluru
- IND, TS, Hyderabad - Virtual
- IND, KA, Bangalore - Virtual
- IND, TN, Chennai - Virtual
- IND, AP, Virtual
The Role at a Glance
- Job Title: Associate, ML Data Operations (GO-AI Operations)
- Job ID: 3134253
- Type: Non-technical / Operational Role
- Location: Multiple locations / Virtual (Work from Home options available, including Bangalore, Chennai, and Hyderabad)
- Shift Structure: 24/7 environment with rotational 9-hour shifts (5 days a week with 2 consecutive days off).
Key Job Responsibilities: A Day in the Life
As an ML Data Operations Associate, your primary focus will be data annotation and quality auditing. You will use human judgment combined with specialized internal tools to evaluate visual data.
Video & Image Audits: You will watch videos of stowing actions at fulfillment centers, analyze the footage, and accurately mark or verify product locations.
Data Labeling: Execute foundational labeling functions across multiple formats (speech, text, audio, image, and video data).
Maintain Efficiency: Review hundreds of videos/images per shift while hitting targets for speed (productivity) and precision (quality).
Continuous Learning: Quickly adapt to evolving annotation methodologies and master toolsets like Labelbox, CVAT, or SageMaker Ground-Truth.
Who is Amazon Looking For? (Job Requirements)
Basic Qualifications:
A Bachelor’s Degree or equivalent (or 1+ years of relevant work experience).
Strong attention to detail and the ability to maintain extreme accuracy when working with massive datasets.
Excellent communication skills to articulate ideas and work collaboratively with remote, multicultural teams.
Good time management and organizational skills.
Preferred Qualities:
High focus and stamina to identify details from blurry or lower-resolution videos.
Willingness to work in a fast-paced environment with rotational night shifts (night shift allowance is provided).
For virtual roles: A dedicated, private workspace at home with a reliable internet connection (>=20 MBPS speed).
Why You Should Apply
Foot in the Door at a Tech Giant: Working at Amazon looks incredible on any resume.
AI Exposure: Gain direct hands-on experience in how machine learning models are trained and optimized.
Flexible Options: The availability of virtual/work-from-home setups offers great flexibility for candidates across regions like Karnataka, Tamil Nadu, and Telangana.
How to Apply
If you are detail-oriented, enjoy analytical work, and want to contribute to the future of AI automation, do not wait!
Note: Job postings on Amazon can close quickly depending on application volume, so ensure you submit your resume as soon as possible.
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