大模型训练（评论治理方向）-CQC（北京）
Core
Operate and iterate large language models for content governance, safety, and youth protection, managing the full lifecycle from data engineering to model evaluation.
Role type
Senior Large Language Model Engineer (Content Governance)
Builds
Autope, SFT, and Multi-Agent systems for content moderation
Domain
AI Safety & Content Moderation
Deliverable
production ML models
Required skills
Large Language Model training, Supervised Fine-Tuning (SFT), Multi-Agent system design, Computer Vision, Graph Neural Networks, SQL, Python data development, System experimentation
Preferred skills
Reinforcement Learning (RL), Retrieval-Augmented Generation (RAG), Workflow/Agent architecture, ACM competition awards, Publications in top-tier NLP/CV conferences (ACL, NeurIPS, CVPR, etc.)
Technologies
Autope, SFT, Multi Agents, SQL, Python
Responsibilities
Support model structure design and training iteration, build model capabilities to overcome governance bottlenecks, balance governance requirements with business growth, collaborate with product and algorithm teams, lead industry benchmarks in governance efficiency and effectiveness
