AIGC Model Labelling Team Lead (Monetization Integrity)

TikTok Inc.; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

TikTok is seeking a leadership role in Monetization Integrity Ops to drive high-quality content moderation at a controlled cost. You will lead a team of model labelling specialists, develop scorecards and dashboards, and collaborate with Automoderation, Product, Training, and WFM to improve coverage and efficiency.

The role requires strong data analysis, Mandarin-English proficiency, and a proactive ownership mindset in a fast-paced environment.

Formación

• Bachelor's degree or higher in Engineering, Business Analytics, Statistics, Information Management, or related fields.
• 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 production pipelines, including key stages and quality control points in 'data collection/annotation — model training — model evaluation'
• Solid data analysis skills to identify process issues and opportunities via insights; proficient with Data Visualization tools and Excel for analysis and retrospectives
• Strong experience in full-cycle project management and process design/standardization; capable of optimization opportunities and driving improvements; systems-thinking mindset
• Professional working proficiency in both Mandarin and English — required to work with Mandarin-language moderation guidelines and to collaborate daily with Mandarin-speaking stakeholders
• Highly self-driven with ownership mindset; capable of solving problems and delivering results in a fast-paced, multi-task environment

Responsabilidades

• Lead model labelling specialists and foster a high-performance culture with clear goals and regular performance reviews.
• Build and maintain model labelling scorecards, dashboards, and reporting cadences for leadership visibility.
• Quantify how labelling output affects model training and evaluation outcomes and translate insights into improvement plans.
• Partner with Automoderation, Product, Training, and WFM teams to drive coverage and quality improvements.
• Identify automation and tooling opportunities to scale efficiency and reduce manual effort.

Conocimientos

Data analysis

Data Visualization

Excel

Educación

Bachelor's degree or higher in Engineering, Business Analytics, Statistics, Information Management

Descripción del empleo

Responsibilities

Monetization Integrity Ops plays a critical role in supporting TikTok's Trust & Safety objectives. Our primary focus is on delivering high-quality content moderation at optimal cost, ensuring minimal exposure of both the platform and advertisers to high-risk content. From an advertiser's perspective, we are committed to driving consistency and accuracy in moderation outcomes, whether automated or human-led, so that brands can build trusted, long-term, and mutually beneficial commercial relationships with TikTok. Guided by the MI team's broader mission to make TikTok the world's most trusted ecosystem and the easiest platform to advertise on, our work contributes to TikTok's overall success in several key ways:

• Enabling Growth: By creating a safe and reliable advertising environment that attracts and retains global partners.
• Ensuring Compliance: By upholding moderation standards that align with legal, regulatory, and brand safety requirements.
• Driving Innovation: By leveraging automation, data, and human expertise to continuously improve moderation outcomes.

• Model Labelling Team Leadership & People Management- Lead, coach, and develop a team of model labelling specialists, fostering a high-performance and accountable culture- Set clear performance goals, conduct regular 1:1s, performance reviews, and career development planning- Manage capacity, workload allocation, and shift coverage to ensure consistent labelling output
• Data-Driven Management & Analytics- Build and maintain model labelling scorecards, dashboards, and reporting cadences for leadership visibility- Quantify and report how the team's labelling output affects model training and evaluation outcomes- Translate insights into actionable improvement plans and influence prioritization decisions
• Cross-Functional Collaboration- Partner with Automoderation, Product, Training, and WFM teams to drive model coverage and quality improvements and close feedback loops- Represent the model labelling function in governance forums and business reviews
• Process Optimization & Continuous Improvement- Identify automation and tooling opportunities to scale model labelling efficiency and reduce manual effort- Champion a culture of continuous improvement, calibration, and operational excellence within the team

Qualifications

• Minimum Qualifications:- Bachelor's degree or higher in Engineering, Business Analytics, Statistics, Information Management, or related fields
• Minimum Qualifications:- 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
• Minimum Qualifications:- In-depth knowledge of large language model data production pipelines, including key stages and quality control points in "data collection/annotation — model training — model evaluation"
• Minimum Qualifications:- Solid data analysis skills to identify process issues and opportunities via insights; proficient with Data Visualization tools and Excel for analysis and retrospectives
• Minimum Qualifications:- Strong experience in full-cycle project management and process design/standardization. Skilled at identifying optimization opportunities and driving improvements; possesses systems-thinking and solution architecture mindset
• Minimum Qualifications:- Professional working proficiency in both Mandarin and English — required to work with Mandarin-language moderation guidelines and to collaborate daily with Mandarin-speaking stakeholders
• Minimum Qualifications:- Highly self-driven with a strong ownership mindset; capable of proactively solving problems and delivering results in a fast-paced, multi-task environment

• Preferred Qualifications:- Experience in model data production, data labeling/annotation project management, or data solution design
• Preferred Qualifications:- Experience with AI Agents, LLMs, or Prompt Engineering is a strong plus

Job Information

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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Employment Type: Regular

Job Code: A124535B