模型训练产品经理-AI数据与安全
Core
Define and iterate data construction strategies (including synthetic data) for Seed base models and AI-native applications, managing the full data production lifecycle from strategy to quality assurance.
Role type
Senior Product Manager, AI Data & Safety
Builds
Cross-modal data services, automated data production systems, and data flywheels for model iteration
Domain
AI/ML, Data Engineering, Model Training
Deliverable
production ML models
Required skills
LLM/VLM training data production, data strategy formulation, quality metric definition, project management, system thinking, cross-functional collaboration
Preferred skills
Coding/Python, workflow/agent building, synthetic data strategy, multimodal data strategy
Technologies
LLMs, VLMs, synthetic data, automated data production systems
Responsibilities
Design data production pipelines and core steps based on model training goals; Establish quantifiable data quality acceptance standards and optimize verification processes; Conduct model performance evaluation and deep analysis to identify improvement points; Leverage large models to build automated data production systems for efficiency and scale.
