AI数据运营与交付专家（智能内容治理方向）-CQC
Core
Decompose data annotation requirements, manage end-to-end delivery of datasets to AI models, and build tools to optimize the data governance workflow.
Role type
Senior AI Data Operations and Delivery Specialist (Intelligent Content Governance)
Builds
Standardized annotation SOPs, high-quality datasets for model training, and lightweight automation tools for data quality control.
Domain
Artificial Intelligence / Large Language Models / Data Governance
Deliverable
production ML models
Required skills
Data annotation project management, AI model training dataset logic, data quality control principles, cross-functional stakeholder alignment, SOP creation and implementation, risk management in project lifecycles.
Preferred skills
Computer science or large model background, experience with low-code platform building, basic AI skills including understanding of LLM Agent logic, experience with automated tool development.
Technologies
Low-code platforms, AI model training frameworks, data governance rule platforms.
Responsibilities
Define data sources, acceptance criteria, and delivery specifications for annotation projects; coordinate cross-departmental resources and manage internal/external annotation teams; develop tools to improve data quality inspection and workflow efficiency; monitor project risks and ensure data quality matches model training needs.
Seniority
Senior, hands-on IC
