Top Tech Jobs & Startup Jobs

Label video, image, and metadata content across major social platforms using contextual guidelines. Apply cultural and linguistic judgment, identify edge cases, perform multilingual quality assurance, analyze quality misses, and improve labeling processes. The role requires Hindi and English fluency, careful handling of sensitive content, strong attention to detail, and comfort using AI tools and Google Workspace in a hybrid office environment.

Labels video, image, and metadata content across social media platforms to create ground-truth data for machine learning systems. Applies contextual and cultural guidelines, handles ambiguous or sensitive content, identifies trends and edge cases, performs linguistic quality assurance, analyzes quality misses, and recommends process improvements. Requires Spanish and English fluency, strong attention to detail, familiarity with major social platforms, clear communication, and comfort using AI tools and Google Workspace.

Design, build, and operate REST and GraphQL APIs, MCP servers, Apache Airflow workflows, and data transformation pipelines using Snowflake and dbt. Collaborate with an experienced applications engineering team supporting front-end interfaces and batch processes. Apply systems engineering and product lifecycle principles while contributing to reliable, scalable software solutions.

Manage client relationships for Zefr’s programmatic advertising product. Guide brands and agencies in executing campaigns, optimizing performance, meeting KPIs, and resolving technical or strategic challenges. Analyze client data, provide consultative advice, communicate customer needs to product teams, identify expansion opportunities, and deliver an excellent customer support experience.

Develop and maintain code-based automated tests for APIs, web applications, data pipelines, AI/ML services, and partner integrations. Plan feature testing, validate data and model outputs, integrate reliable test suites into CI/CD, monitor production quality, investigate incidents, and verify releases. Collaborate with engineering, product, data science, and customer-facing teams while improving test coverage, reliability, and performance.

Support and improve cloud infrastructure, Kubernetes-based microservices, CI/CD pipelines, infrastructure-as-code, observability, and production reliability. The role involves debugging application and infrastructure issues, participating in a 24/7 on-call rotation, maintaining documentation and runbooks, and collaborating with engineering and data science teams to deliver scalable, automated systems.

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.