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

TikTok

Kuala Lumpur

Sur place

MYR 250 000 - 420 000

Plein temps

Il y a 17 heures
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Résumé du poste

TikTok's AI Data Service and Operations (ADSO) team in Malaysia seeks an ADSO Quality Policy Lead to uphold the integrity and precision of our ML models through rigorous data labeling and quality monitoring.

You will shape global QA strategy, establish guidelines and calibration procedures, and coordinate with regional teams and BPO partners to ensure outputs meet platform policies, safety standards, and regulatory requirements.

Qualifications

  • Minimum 5 years in data operations, trust & safety, content moderation, or AI data delivery.
  • Strong understanding of machine learning pipelines, LLMs, and hybrid (human‑machine) data labeling frameworks.
  • Exceptional global stakeholder management and ability to drive operational excellence in ambiguous, fast‑paced, cross‑cultural environments.
  • Data‑driven with proficiency in SQL and Excel for dashboards and performance analysis.
  • Familiarity with human moderation tools, CMS, and people management systems.
  • Global awareness of online safety regulations and diverse market sensitivities.
  • Proficiency in English is required.

Responsabilités

  • Direct end-to-end delivery of Ecosystem Key Metrics data operations and quality assurance across markets.
  • Develop policy understanding and translate into accurate, consistent quality standards for labeling and enforcement.
  • Establish, maintain, and optimize data labeling guidelines, calibration protocols, and quality assessment procedures.
  • Lead RCA on guideline ambiguities, performance gaps, or escalations, and implement swift corrective actions.
  • Allocate and optimize resources, plan workforce, and ensure timelines and targets are met.
  • Conduct periodic performance evaluations for QA teams and provide coaching to improve outcomes.
  • Manage relationships and performance metrics with global BPO partners and vendor sites.
  • Collaborate with XFNs to translate data insights into improvements for LLMs and ecosystems.
  • Cowork with stakeholders on ad-hoc tasks as needed.

Connaissances

Stakeholder management
ML pipelines
Leadership
Data analysis
Moderation tools
English proficiency

Outils

SQL
Excel
Content management systems
People management systems

Description du poste

Responsibilities

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.

  • 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.
Qualifications

Minimum Qualification(s)

  • Experience: Minimum 5 years of experience in Data operations, Trust & Safety, content moderation fields, or AI data delivery—with a proven track record of managing global or cross-regional functions.
  • Technical Acumen: Strong understanding of machine learning pipelines, LLMs, and hybrid (human-machine) data labeling frameworks.
  • Leadership & Influence: Exceptional global stakeholder management. Ability to drive operational excellence in highly ambiguous, fast-paced, and cross-cultural environments. Understanding of BCP management during unexpected situations.
  • Data-Driven: Proficiency in data analysis, dashboard creation (e.g., SQL, Excel), and using performance data to drive continuous improvements.
  • Task & Tooling-Driven: Strong logical thinking to evaluate requests and prioritize tasks; proficiency in using human moderation tools, content management systems, and people management systems.
  • Global Perspective: Strong awareness of global socio-cultural landscapes, online safety & user experience regulatory frameworks, and diverse market sensitivities.
  • Language Skill: Proficiency in English is required.
About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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