AIGC Model Labelling Team Lead (Monetization Integrity)

About the role

TikTok's Monetization Integrity (MI) team supports its Trust & Safety objectives by delivering high-quality content moderation at optimal cost, protecting both the platform and advertisers from high-risk content. This Team Lead position oversees a group of model labelling specialists, guiding them to produce accurate, consistent moderation outcomes through automation, data and human expertise.

Key responsibilities

• Lead, coach and develop a team of model labelling specialists, set performance goals, run regular 1:1s, performance reviews and career development planning, and manage capacity, workload and shift coverage
• Build and maintain model labelling scorecards, dashboards and reporting cadences, and quantify how labelling output affects model training and evaluation
• Partner with Automoderation, Product, Training and WFM teams, represent the function in governance forums and business reviews, and turn insights into improvement plans
• Identify automation and tooling opportunities to scale efficiency and reduce manual effort, and champion continuous improvement and calibration

Required profile

• Bachelor's degree or higher in Engineering, Business Analytics, Statistics, Information Management or a related field
• 5+ years of experience in automation, governance, moderation, operations management or related functions, with at least 1 year in a people management or team lead role
• In-depth knowledge of large language model data pipelines, from data collection and annotation through model training and evaluation
• Full-cycle project management, process design and standardization, and systems thinking
• Professional working proficiency in Mandarin and English
• Preferred: experience in model data production, data labelling project management or data solution design; experience with AI agents, LLMs or prompt engineering is a strong plus

Required skills

• Data analysis and data visualization tools
• Excel for analysis and retrospectives