Science Annotation Analyst
Data Pipeline Engineer
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What stands out
- Posted in the last 24 hours.
The gist
This role involves designing data pipelines and dashboards to support machine learning annotation processes. You'll work with AWS services and Python to automate workflows and ensure data quality. Ideal for someone with experience in data engineering and a passion for scalable solutions.
What you would actually do
- Build data pipelines to extract and validate annotation metrics from AWS and SageMaker
- Create dashboards and custom annotation interfaces using Python and web frameworks
- Automate workflows and manage secure cross-account AWS integrations with IAM and Lambda
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 2 hours of being posted
- Last seen listed
- Application page
- linkedin.com
InternDoor has recorded 20 engineering postings from Amazon in India since Aug 2026. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to Amazon’s page instead of a dead end.
How to apply
Entry-level roles in India often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.