Are you passionate about building scalable data pipelines and dashboards that
power machine learning innovation? Do you thrive at the intersection of data
engineering, AWS cloud architecture, and automation? Join the Worldwide Returns,
ReCommerce & Sustainability team where your technical expertise will directly
support high-quality training data that fuels ML models—helping Amazon achieve
zero waste, zero cost of returns, and zero defects.

As a Science Annotation Operations Analyst, you'll own end-to-end data pipelines
that extract, validate, and consolidate annotation metrics from AWS and
SageMaker. You'll build production dashboards, create custom annotation
interfaces, and automate critical workflows—all while collaborating with Program
Managers, Science Specialists, and cross-functional teams. This role offers you
the prospect to leverage Python, AWS services, and web development skills to
solve real problems that impact both customers and the planet.

Key job responsibilities
- Design and maintain scalable data pipelines that extract, parse, validate, and




consolidate annotation metrics from AWS and SageMaker, ensuring data quality and
auditability throughout the lifecycle
- Build and operate production dashboards on EC2 covering the full data
lifecycle (ingest, validate, score, publish) using technologies like Plotly Dash
or Streamlit
- Implement secure, least-privilege cross-account AWS integrations using IAM,
STS, Lambda, and API Gateway to enable seamless data ingestion from multiple
source accounts
- Develop custom SageMaker Ground Truth labeling templates using HTML and
JavaScript with conditional logic that transform written SOPs into validated
annotation interfaces
- Automate recurring manual processes including monthly consolidation,
historical backfills, and scheduled jobs while maintaining alerting, backups,
and deployment workflows to improve operational efficiency

A day in the life
You'll collaborate with Program Managers, Leads, and Science A

📌 Science Annotation Ops Analyst (Hyderabad)
🏢 Amazon
📍 Hyderabad