Zefr Benefits Overview

Annotate and evaluate videos, images, and metadata across major social platforms to support AI system training. Apply contextual and cultural guidelines, resolve ambiguous or sensitive content decisions, perform quality assurance, identify trends and edge cases, conduct root cause analysis, prepare weekly reports, and recommend improvements to labeling processes and tools. The role requires English and Hindi fluency, strong attention to detail, analytical judgment, and comfort handling sensitive content.

As a Senior Data Engineer, you will design and operate data transformation pipelines, workflows, and AI-assisted data visualization tools, collaborating with an experienced team.

Design, implement, and operate cloud-native microservices in Kubernetes; ensure scalability, reliability, observability, and incident response; use AI tools daily for coding and research; collaborate with product, ML, and infra teams; contribute to architecture and standards; mentor engineers and drive projects to production.