混元大语言数据质量工程师（北京）
Core
Build and optimize post-training data quality inspection systems for large language models (LLMs), including quality issue detection, analysis, operator iteration, and standard optimization to enhance model performance.
Role type
Senior IC LLM data quality engineer
Builds
Human-machine collaborative inspection, review, attribution, and regression pipelines for LLM data
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
LLM post-training data processing, Agent and AI coding tools, independent system development and analysis, data insight and analysis, full-stack LLM understanding
Preferred skills
Master's degree in LLM-related fields
Technologies
Agent frameworks, AI coding tools
Responsibilities
Design and iterate data quality inspection operators and standards; Build automated pipelines for data review and regression; Collaborate with model teams to close the loop between quality results and data production optimization.
