Content Risk Evaluation Team Lead (Mandarin Speaking) - Safety Model Operations - Kuala Lumpur
Apr 27, 2026 Kuala Lumpur, Malaysia
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About the team
The Safety Model Operations [SMO] team is responsible for building, optimizing, and maintaining machine learning models and operational processes that support TikTok's Trust & Safety systems. We ensure that automated safety models perform effectively in identifying harmful content, mitigating risks, and maintaining a safe user environment across regions.
The SMO Delivery Team plays a critical role in the organization. Its primary responsibility is to carry out the full spectrum of quality assurance activities for each project. This includes:
- Conducting detailed reviews and complex RCA's to ensure labeling accuracy and consistency
- Monitoring quality performance and compliance against project-specific KPIs
- Identifying trends, risks, and potential gaps in processes or guidelines
- Providing structured feedback and improvement recommendations to the Central Project Team
- Supporting continual optimization of workflows, tools, and evaluation methodologies
- Improve Model performance of AI models
What will I do?
As the Content Risk Evaluation Team Lead, you will build and lead a team of Content Risk Evaluation Specialists who serve as the frontline guardians of the platform's safety ecosystem. You will guide your team in translating complex regulations and community standards into actionable guidelines, proactively surfacing hidden and borderline content risks across both user and producer-generated content. When critical risk events emerge, you will orchestrate rapid, cross-functional responses to contain and resolve threats while continuously improving review processes. Your team will produce data-driven risk assessment reports that directly shape platform rules and safety strategies. Additionally, you will work hand-in-hand with algorithm and data science teams to close the feedback loop between human judgment and AI models-ensuring consistency, reducing model edge cases, and driving continuous improvement in both human review quality and automated content safety systems.
Responsibilities
1. Lead & Develop the Risk Team: Manage, mentor, and provide strategic direction to a team of Content Risk Evaluation Specialists, ensuring excellence in risk identification and mitigation.
2. Translate Policy into Guidelines: Interpret regulations and platform policies into actionable guidelines, and oversee a case database to ensure consistent judgments across scenarios.
3. Monitor & Characterize Content Risks: Monitor UGC and PGC ecosystems to proactively identify explicit, implicit, and borderline content risks, and extract risk characteristics.
4. Manage Emergent Risk Events: Lead rapid response to content safety emergencies, define issues, prioritize actions, and drive cross-functional resolution and process optimization.
5. Produce Risk Assessment Reports: Generate data-driven risk assessment reports to support platform rule optimization and review strategy decisions.
6. Drive Cross-Functional Risk Prevention: Collaborate with operations, safety product, and other teams to implement risk prevention strategies using content review and data analysis tools.
7. Ensure Model & Policy Consistency: Partner with algorithm and data science teams to establish a continuous "judgment-data-model" feedback loop, develop evaluation standards, and help models handle edge cases.
Qualifications
Minimum Qualifications:
- Bachelor's degree or higher (Law, Journalism, or related fields preferred), with a strong sense of ownership and the ability to establish order amid uncertainty.
- At least 2 years of team management experience, with the ability to give clear, directional guidance and develop talent in a fast-paced risk environment.
- A strong background in content safety, policy development, or risk management, with the ability to make authoritative and credible judgments in highly ambiguous and complex scenarios.
- Strong abstraction skills, capable of translating case-specific insights into systematic strategic frameworks and delivering high-quality data products that drive the AI Data Foundation.
- Strong language ability in both written and spoken English along with effective communications.
- Mandarin proficiency is required, as it is mandatory for daily liaison with the China team in the China market and the accurate communication of business information along with seamless collaboration with global teams and product/R&D teams.
About the team
The Safety Model Operations [SMO] team is responsible for building, optimizing, and maintaining machine learning models and operational processes that support TikTok's Trust & Safety systems. We ensure that automated safety models perform effectively in identifying harmful content, mitigating risks, and maintaining a safe user environment across regions.
The SMO Delivery Team plays a critical role in the organization. Its primary responsibility is to carry out the full spectrum of quality assurance activities for each project. This includes:
- Conducting detailed reviews and complex RCA's to ensure labeling accuracy and consistency
- Monitoring quality performance and compliance against project-specific KPIs
- Identifying trends, risks, and potential gaps in processes or guidelines
- Providing structured feedback and improvement recommendations to the Central Project Team
- Supporting continual optimization of workflows, tools, and evaluation methodologies
- Improve Model performance of AI models
What will I do?
As the Content Risk Evaluation Team Lead, you will build and lead a team of Content Risk Evaluation Specialists who serve as the frontline guardians of the platform's safety ecosystem. You will guide your team in translating complex regulations and community standards into actionable guidelines, proactively surfacing hidden and borderline content risks across both user and producer-generated content. When critical risk events emerge, you will orchestrate rapid, cross-functional responses to contain and resolve threats while continuously improving review processes. Your team will produce data-driven risk assessment reports that directly shape platform rules and safety strategies. Additionally, you will work hand-in-hand with algorithm and data science teams to close the feedback loop between human judgment and AI models-ensuring consistency, reducing model edge cases, and driving continuous improvement in both human review quality and automated content safety systems.
Responsibilities
1. Lead & Develop the Risk Team: Manage, mentor, and provide strategic direction to a team of Content Risk Evaluation Specialists, ensuring excellence in risk identification and mitigation.
2. Translate Policy into Guidelines: Interpret regulations and platform policies into actionable guidelines, and oversee a case database to ensure consistent judgments across scenarios.
3. Monitor & Characterize Content Risks: Monitor UGC and PGC ecosystems to proactively identify explicit, implicit, and borderline content risks, and extract risk characteristics.
4. Manage Emergent Risk Events: Lead rapid response to content safety emergencies, define issues, prioritize actions, and drive cross-functional resolution and process optimization.
5. Produce Risk Assessment Reports: Generate data-driven risk assessment reports to support platform rule optimization and review strategy decisions.
6. Drive Cross-Functional Risk Prevention: Collaborate with operations, safety product, and other teams to implement risk prevention strategies using content review and data analysis tools.
7. Ensure Model & Policy Consistency: Partner with algorithm and data science teams to establish a continuous "judgment-data-model" feedback loop, develop evaluation standards, and help models handle edge cases.
Minimum Qualifications:
- Bachelor's degree or higher (Law, Journalism, or related fields preferred), with a strong sense of ownership and the ability to establish order amid uncertainty.
- At least 2 years of team management experience, with the ability to give clear, directional guidance and develop talent in a fast-paced risk environment.
- A strong background in content safety, policy development, or risk management, with the ability to make authoritative and credible judgments in highly ambiguous and complex scenarios.
- Strong abstraction skills, capable of translating case-specific insights into systematic strategic frameworks and delivering high-quality data products that drive the AI Data Foundation.
- Strong language ability in both written and spoken English along with effective communications.
- Mandarin proficiency is required, as it is mandatory for daily liaison with the China team in the China market and the accurate communication of business information along with seamless collaboration with global teams and product/R&D teams.
About the team
The Safety Model Operations [SMO] team is responsible for building, optimizing, and maintaining machine learning models and operational processes that support TikTok's Trust & Safety systems. We ensure that automated safety models perform effectively in identifying harmful content, mitigating risks, and maintaining a safe user environment across regions.
The SMO Delivery Team plays a critical role in the organization. Its primary responsibility is to carry out the full spectrum of quality assurance activities for each project. This includes:
- Conducting detailed reviews and complex RCA's to ensure labeling accuracy and consistency
- Monitoring quality performance and compliance against project-specific KPIs
- Identifying trends, risks, and potential gaps in processes or guidelines
- Providing structured feedback and improvement recommendations to the Central Project Team
- Supporting continual optimization of workflows, tools, and evaluation methodologies
- Improve Model performance of AI models
What will I do?
As the Content Risk Evaluation Team Lead, you will build and lead a team of Content Risk Evaluation Specialists who serve as the frontline guardians of the platform's safety ecosystem. You will guide your team in translating complex regulations and community standards into actionable guidelines, proactively surfacing hidden and borderline content risks across both user and producer-generated content. When critical risk events emerge, you will orchestrate rapid, cross-functional responses to contain and resolve threats while continuously improving review processes. Your team will produce data-driven risk assessment reports that directly shape platform rules and safety strategies. Additionally, you will work hand-in-hand with algorithm and data science teams to close the feedback loop between human judgment and AI models-ensuring consistency, reducing model edge cases, and driving continuous improvement in both human review quality and automated content safety systems.
Responsibilities
1. Lead & Develop the Risk Team: Manage, mentor, and provide strategic direction to a team of Content Risk Evaluation Specialists, ensuring excellence in risk identification and mitigation.
2. Translate Policy into Guidelines: Interpret regulations and platform policies into actionable guidelines, and oversee a case database to ensure consistent judgments across scenarios.
3. Monitor & Characterize Content Risks: Monitor UGC and PGC ecosystems to proactively identify explicit, implicit, and borderline content risks, and extract risk characteristics.
4. Manage Emergent Risk Events: Lead rapid response to content safety emergencies, define issues, prioritize actions, and drive cross-functional resolution and process optimization.
5. Produce Risk Assessment Reports: Generate data-driven risk assessment reports to support platform rule optimization and review strategy decisions.
6. Drive Cross-Functional Risk Prevention: Collaborate with operations, safety product, and other teams to implement risk prevention strategies using content review and data analysis tools.
7. Ensure Model & Policy Consistency: Partner with algorithm and data science teams to establish a continuous "judgment-data-model" feedback loop, develop evaluation standards, and help models handle edge cases.
Qualifications
Minimum Qualifications:
- Bachelor's degree or higher (Law, Journalism, or related fields preferred), with a strong sense of ownership and the ability to establish order amid uncertainty.
- At least 2 years of team management experience, with the ability to give clear, directional guidance and develop talent in a fast-paced risk environment.
- A strong background in content safety, policy development, or risk management, with the ability to make authoritative and credible judgments in highly ambiguous and complex scenarios.
- Strong abstraction skills, capable of translating case-specific insights into systematic strategic frameworks and delivering high-quality data products that drive the AI Data Foundation.
- Strong language ability in both written and spoken English along with effective communications.
- Mandarin proficiency is required, as it is mandatory for daily liaison with the China team in the China market and the accurate communication of business information along with seamless collaboration with global teams and product/R&D teams.
Responsibilities
ResponsibilitiesAbout the team
The Safety Model Operations [SMO] team is responsible for building, optimizing, and maintaining machine learning models and operational processes that support TikTok's Trust & Safety systems. We ensure that automated safety models perform effectively in identifying harmful content, mitigating risks, and maintaining a safe user environment across regions.
The SMO Delivery Team plays a critical role in the organization. Its primary responsibility is to carry out the full spectrum of quality assurance activities for each project. This includes:
- Conducting detailed reviews and complex RCA's to ensure labeling accuracy and consistency
- Monitoring quality performance and compliance against project-specific KPIs
- Identifying trends, risks, and potential gaps in processes or guidelines
- Providing structured feedback and improvement recommendations to the Central Project Team
- Supporting continual optimization of workflows, tools, and evaluation methodologies
- Improve Model performance of AI models
What will I do?
As the Content Risk Evaluation Team Lead, you will build and lead a team of Content Risk Evaluation Specialists who serve as the frontline guardians of the platform's safety ecosystem. You will guide your team in translating complex regulations and community standards into actionable guidelines, proactively surfacing hidden and borderline content risks across both user and producer-generated content. When critical risk events emerge, you will orchestrate rapid, cross-functional responses to contain and resolve threats while continuously improving review processes. Your team will produce data-driven risk assessment reports that directly shape platform rules and safety strategies. Additionally, you will work hand-in-hand with algorithm and data science teams to close the feedback loop between human judgment and AI models-ensuring consistency, reducing model edge cases, and driving continuous improvement in both human review quality and automated content safety systems.
Responsibilities
1. Lead & Develop the Risk Team: Manage, mentor, and provide strategic direction to a team of Content Risk Evaluation Specialists, ensuring excellence in risk identification and mitigation.
2. Translate Policy into Guidelines: Interpret regulations and platform policies into actionable guidelines, and oversee a case database to ensure consistent judgments across scenarios.
3. Monitor & Characterize Content Risks: Monitor UGC and PGC ecosystems to proactively identify explicit, implicit, and borderline content risks, and extract risk characteristics.
4. Manage Emergent Risk Events: Lead rapid response to content safety emergencies, define issues, prioritize actions, and drive cross-functional resolution and process optimization.
5. Produce Risk Assessment Reports: Generate data-driven risk assessment reports to support platform rule optimization and review strategy decisions.
6. Drive Cross-Functional Risk Prevention: Collaborate with operations, safety product, and other teams to implement risk prevention strategies using content review and data analysis tools.
7. Ensure Model & Policy Consistency: Partner with algorithm and data science teams to establish a continuous "judgment-data-model" feedback loop, develop evaluation standards, and help models handle edge cases.
Qualifications
QualificationsMinimum Qualifications:
- Bachelor's degree or higher (Law, Journalism, or related fields preferred), with a strong sense of ownership and the ability to establish order amid uncertainty.
- At least 2 years of team management experience, with the ability to give clear, directional guidance and develop talent in a fast-paced risk environment.
- A strong background in content safety, policy development, or risk management, with the ability to make authoritative and credible judgments in highly ambiguous and complex scenarios.
- Strong abstraction skills, capable of translating case-specific insights into systematic strategic frameworks and delivering high-quality data products that drive the AI Data Foundation.
- Strong language ability in both written and spoken English along with effective communications.
- Mandarin proficiency is required, as it is mandatory for daily liaison with the China team in the China market and the accurate communication of business information along with seamless collaboration with global teams and product/R&D teams.
Additional Information
- Posted: Apr 27, 2026