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