数据标注模型运营-CQC
Core
Operate and optimize data annotation and governance processes for Large Language Models (LLM), Vision-Language Models (VLM), and multimodal models to improve delivery quality and efficiency.
Role type
AI Model Operations Engineer (Data Annotation & Governance)
Builds
Data pipelines, model adaptation, quality monitoring systems, and deployment workflows for LLM/VLM applications.
Domain
Artificial Intelligence / Large Language Models / Multimodal AI
Deliverable
production ML models
Required skills
Python, SQL/PySpark, model fine-tuning, inference optimization, data construction, effect evaluation, problem decomposition, experimental design
Preferred skills
Context Engineering, Agent Engineering, MCP, LLMOps, EvalOps, tool calling, multimodal understanding
Responsibilities
Design and validate data annotation/governance solutions, collaborate with algorithm and engineering teams to deploy models, build governance sets and SOPs, monitor model quality and data feedback loops, analyze negative cases to refine methodologies.
Seniority
Mid-level, hands-on IC
