Engineering Manager, Data Labeling Platform
Core
Lead and scale the core Data Labeling Platform, bridging AI engineering, scalable software systems, and massive-scale operations to support high-volume annotation projects.
Role type
Engineering Manager, Data Labeling Platform
Builds
Next-generation data annotation platform, auto-labeling applications, data pipelines, and intelligent orchestration tools.
Domain
AI/ML Infrastructure, Data Operations, Multimodal Data (text, video, audio, speech, document)
Required skills
System design, Python programming, People leadership, Stakeholder management, AI Application Engineering, Data Engineering & Analytics, Front-end & Annotation Interfaces, Operations Scaling
Preferred skills
Human-in-the-loop data programs experience, Model-based quality evaluation, TypeScript/JavaScript, Multimodal data background
Technologies
Python, TypeScript, JavaScript, NVIDIA Data Lake
Responsibilities
Guide robust software design and clean data engineering practices; Build, mentor, and lead a high-performing team of software, data, and AI application engineers; Align engineering roadmaps with VPs and Research Leaders; Architect and drive implementation of auto-labeling applications leveraging models-in-the-loop; Own the data engineering layer including event logging, ETL, metrics, dashboards, and alerting; Direct front-end engineering for custom annotation interfaces across diverse modalities; Optimize the platform for scalability, data integrity, and throughput.
Seniority
Manager, 10+ years experience