AI Data Operations Manager
Core
Own and run the end-to-end data creation and maintenance pipeline for AI/ML models, managing vendors, annotation workflows, and quality standards.
Role type
AI Data Operations Manager
Builds
High-quality training datasets for machine learning models
Domain
Artificial Intelligence / Machine Learning Operations
Deliverable
production ML models
Required skills
vendor lifecycle management, AI agent design and deployment, data quality assurance, ML evaluation basics (precision/recall), cross-functional stakeholder management, process automation
Preferred skills
NLP training data pipeline experience, annotation tool proficiency (CVAT, Label Studio, Scale AI, Surge AI), startup environment experience
Technologies
CVAT, Label Studio, Scale AI, Surge AI
Responsibilities
Own the full vendor lifecycle from sourcing to quality management; Design and deploy agentic workflows to automate multi-step processes; Translate model evaluation signals into targeted data creation cycles; Partner with MLEs and PMs to align data needs with pipeline improvements; Maintain living documentation for data batches and vendor SOPs
Seniority
Mid-level, hands-on IC
