[ADSO] Eco & Social Creation Policy Quality and Enforcement Lead - KL

About the team The AI Data Service and Operations (ADSO) team provides safety and non-safety data annotation services, search operation services, and customer services for TikTok's international products, helping them to build their own data ecological security. In order to optimize user experience while upholding negative content governance on our platforms, the Eco & Social Creation within ADSO focuses on data labeling work to support online content strategies and AI/LLM model development.

As the ADSO Quality Policy Quality and Enforcement Lead, you will champion the integrity and precision of TikTok’s machine learning and LLM models on a global scale. Operating at the intersection of AI development, human-in-the-loop data labeling, and quality monitoring, you will lead global strategies to evaluate, refine, and deliver high-quality training data. You are responsible for ensuring that AI-driven content labeling aligns perfectly with platform policies, regional regulations, and global community guidelines.

Responsibilities - Strategy & Delivery Management: Direct the end-to-end delivery of Ecosystem Key Metrics data operations and quality assurance initiatives across regional and multiple markets. - Policy Understanding: Develop a strong understanding and methodology of policies and translate that understanding into accurate, consistent quality standards for data labeling and enforcement. - Quality Frameworks: Establish, maintain, and continuously optimize data labeling guidelines, calibration protocols, and quality assessment procedures for diverse global markets. - Risk & Incident Management: Leading Quality Assurance teams to conduct periodic Root Cause Analysis (RCA) on guideline ambiguities, performance gaps, or high-severity escalations, executing swift corrective actions. - Operational Management: Allocate and optimize resources, manage workforce planning and task prioritization, and ensure output volume, delivery timelines, and operational targets consistently meet expectations. - Performance Management: Conduct periodic performance evaluations for Quality Assurance teams and provide effective coaching to enhance performance outcomes. - Vendor & Stakeholder Oversight: Manage relationships and performance metrics with global BPO partners and vendor sites. Ensure deliverables meet strict productivity and quality targets. - AI Model Enhancement: Collaborate with XFNs, translate data insights into actionable improvements for Large Language Models (LLMs) and Ecosystems. - Initiatives: Cowork with stakeholders on ad-hoc tasks and initiate if required.