Risk Strategy Operations Specialist - Live
Today Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 5,001 - 10,000 employees
- Industry: Entertainment & Gaming
Responsibilities
The Platform Responsibility team is bringing disruptive innovation to content safety through the deep application of AI. We are building next-generation infrastructure that leverages advanced LLMs to reshape risk detection and governance. By engineering high-quality data pipelines and integrating AI into core decision-making, we drive exponential efficiency gains and precision. Working at the intersection of scalable engineering and technology, we empower global business growth while serving as the foundation of user trust.
Responsibilities
- Risk Strategy Operations: Own the day-to-day operation and continuous improvement of risk-control strategies for TikTok LIVE. Identify risks across content violations, fraud/scams, minor protection, and dangerous behaviors such as distracted driving, and translate approved policies into executable operating rules and action plans.
- Data-Driven Risk Analysis & Optimization: Monitor core LIVE safety and creator-experience metrics. Leverage data analysis, case reviews, and user feedback to identify emerging risks, investigate anomalies, and distinguish risk pattern changes from labeling, execution, or data-quality issues. Evaluate strategy effectiveness through A/B testing and ongoing validation, balancing recall, precision, user impact, and operational efficiency.
- Cross-Regional & Cross-Functional Collaboration: Partner with global operations, policy, legal, public relations, data science, algorithm, and engineering teams to drive consistent strategy execution. Coordinate risk-incident response, track action owners and timelines, and resolve operational blockers across markets.
- Policy Implementation & Localization: Track global policy and regulatory changes and assess their operational impact with policy and legal teams. Adapt implementation guidelines, calibration, and training to regional requirements and cultural contexts, and verify that strategy execution remains consistent with approved standards.
Qualifications
Minimum Qualifications:
- Bachelor's degree or above
- 3 years of experience in risk strategy operations, risk control, Trust & Safety, or content/moderation governance.
- AI & LLM Application Proficiency: Familiar with Large Language Models (LLMs), multi-modal models, and their practical applications in risk control and content governance.
- Able to use AI-assisted tools for risk discovery, case analysis, quality calibration, and workflow improvement, and critically validate their outputs and limitations. Experience translating operational needs into clear requirements for algorithm and engineering teams.
- Data Insight & Analysis: Strong analytical thinking and data sensitivity. Proficient in SQL and data analysis tools, with solid experience in A/B testing. Able to identify risk patterns, investigate root causes, and turn data and case-review findings into measurable strategy and operational improvements.
- Cross-Cultural Communication & Execution: Excellent cross-functional collaboration and project management skills. Able to write clear SOPs and implementation guidance, drive calibration and training, and manage multiple priorities in a global, cross-cultural environment.
Preferred Qualifications
- Experience in LIVE risk strategy operations, moderation quality improvement, or global safety policy implementation is preferred.
- Hands-on experience applying AI/LLMs to case analysis, quality calibration, or operational workflow automation is a strong plus.
The Platform Responsibility team is bringing disruptive innovation to content safety through the deep application of AI. We are building next-generation infrastructure that leverages advanced LLMs to reshape risk detection and governance. By engineering high-quality data pipelines and integrating AI into core decision-making, we drive exponential efficiency gains and precision. Working at the intersection of scalable engineering and technology, we empower global business growth while serving as the foundation of user trust.
Responsibilities
- Risk Strategy Operations: Own the day-to-day operation and continuous improvement of risk-control strategies for TikTok LIVE. Identify risks across content violations, fraud/scams, minor protection, and dangerous behaviors such as distracted driving, and translate approved policies into executable operating rules and action plans.
- Data-Driven Risk Analysis & Optimization: Monitor core LIVE safety and creator-experience metrics. Leverage data analysis, case reviews, and user feedback to identify emerging risks, investigate anomalies, and distinguish risk pattern changes from labeling, execution, or data-quality issues. Evaluate strategy effectiveness through A/B testing and ongoing validation, balancing recall, precision, user impact, and operational efficiency.
- Cross-Regional & Cross-Functional Collaboration: Partner with global operations, policy, legal, public relations, data science, algorithm, and engineering teams to drive consistent strategy execution. Coordinate risk-incident response, track action owners and timelines, and resolve operational blockers across markets.
- Policy Implementation & Localization: Track global policy and regulatory changes and assess their operational impact with policy and legal teams. Adapt implementation guidelines, calibration, and training to regional requirements and cultural contexts, and verify that strategy execution remains consistent with approved standards.
Minimum Qualifications:
- Bachelor's degree or above
- 3 years of experience in risk strategy operations, risk control, Trust & Safety, or content/moderation governance.
- AI & LLM Application Proficiency: Familiar with Large Language Models (LLMs), multi-modal models, and their practical applications in risk control and content governance.
- Able to use AI-assisted tools for risk discovery, case analysis, quality calibration, and workflow improvement, and critically validate their outputs and limitations. Experience translating operational needs into clear requirements for algorithm and engineering teams.
- Data Insight & Analysis: Strong analytical thinking and data sensitivity. Proficient in SQL and data analysis tools, with solid experience in A/B testing. Able to identify risk patterns, investigate root causes, and turn data and case-review findings into measurable strategy and operational improvements.
- Cross-Cultural Communication & Execution: Excellent cross-functional collaboration and project management skills. Able to write clear SOPs and implementation guidance, drive calibration and training, and manage multiple priorities in a global, cross-cultural environment.
Preferred Qualifications
- Experience in LIVE risk strategy operations, moderation quality improvement, or global safety policy implementation is preferred.
- Hands-on experience applying AI/LLMs to case analysis, quality calibration, or operational workflow automation is a strong plus.
The Platform Responsibility team is bringing disruptive innovation to content safety through the deep application of AI. We are building next-generation infrastructure that leverages advanced LLMs to reshape risk detection and governance. By engineering high-quality data pipelines and integrating AI into core decision-making, we drive exponential efficiency gains and precision. Working at the intersection of scalable engineering and technology, we empower global business growth while serving as the foundation of user trust.
Responsibilities
- Risk Strategy Operations: Own the day-to-day operation and continuous improvement of risk-control strategies for TikTok LIVE. Identify risks across content violations, fraud/scams, minor protection, and dangerous behaviors such as distracted driving, and translate approved policies into executable operating rules and action plans.
- Data-Driven Risk Analysis & Optimization: Monitor core LIVE safety and creator-experience metrics. Leverage data analysis, case reviews, and user feedback to identify emerging risks, investigate anomalies, and distinguish risk pattern changes from labeling, execution, or data-quality issues. Evaluate strategy effectiveness through A/B testing and ongoing validation, balancing recall, precision, user impact, and operational efficiency.
- Cross-Regional & Cross-Functional Collaboration: Partner with global operations, policy, legal, public relations, data science, algorithm, and engineering teams to drive consistent strategy execution. Coordinate risk-incident response, track action owners and timelines, and resolve operational blockers across markets.
- Policy Implementation & Localization: Track global policy and regulatory changes and assess their operational impact with policy and legal teams. Adapt implementation guidelines, calibration, and training to regional requirements and cultural contexts, and verify that strategy execution remains consistent with approved standards.
Qualifications
Minimum Qualifications:
- Bachelor's degree or above
- 3 years of experience in risk strategy operations, risk control, Trust & Safety, or content/moderation governance.
- AI & LLM Application Proficiency: Familiar with Large Language Models (LLMs), multi-modal models, and their practical applications in risk control and content governance.
- Able to use AI-assisted tools for risk discovery, case analysis, quality calibration, and workflow improvement, and critically validate their outputs and limitations. Experience translating operational needs into clear requirements for algorithm and engineering teams.
- Data Insight & Analysis: Strong analytical thinking and data sensitivity. Proficient in SQL and data analysis tools, with solid experience in A/B testing. Able to identify risk patterns, investigate root causes, and turn data and case-review findings into measurable strategy and operational improvements.
- Cross-Cultural Communication & Execution: Excellent cross-functional collaboration and project management skills. Able to write clear SOPs and implementation guidance, drive calibration and training, and manage multiple priorities in a global, cross-cultural environment.
Preferred Qualifications
- Experience in LIVE risk strategy operations, moderation quality improvement, or global safety policy implementation is preferred.
- Hands-on experience applying AI/LLMs to case analysis, quality calibration, or operational workflow automation is a strong plus.
Responsibilities
ResponsibilitiesThe Platform Responsibility team is bringing disruptive innovation to content safety through the deep application of AI. We are building next-generation infrastructure that leverages advanced LLMs to reshape risk detection and governance. By engineering high-quality data pipelines and integrating AI into core decision-making, we drive exponential efficiency gains and precision. Working at the intersection of scalable engineering and technology, we empower global business growth while serving as the foundation of user trust.
Responsibilities
- Risk Strategy Operations: Own the day-to-day operation and continuous improvement of risk-control strategies for TikTok LIVE. Identify risks across content violations, fraud/scams, minor protection, and dangerous behaviors such as distracted driving, and translate approved policies into executable operating rules and action plans.
- Data-Driven Risk Analysis & Optimization: Monitor core LIVE safety and creator-experience metrics. Leverage data analysis, case reviews, and user feedback to identify emerging risks, investigate anomalies, and distinguish risk pattern changes from labeling, execution, or data-quality issues. Evaluate strategy effectiveness through A/B testing and ongoing validation, balancing recall, precision, user impact, and operational efficiency.
- Cross-Regional & Cross-Functional Collaboration: Partner with global operations, policy, legal, public relations, data science, algorithm, and engineering teams to drive consistent strategy execution. Coordinate risk-incident response, track action owners and timelines, and resolve operational blockers across markets.
- Policy Implementation & Localization: Track global policy and regulatory changes and assess their operational impact with policy and legal teams. Adapt implementation guidelines, calibration, and training to regional requirements and cultural contexts, and verify that strategy execution remains consistent with approved standards.
Qualifications
QualificationsMinimum Qualifications:
- Bachelor's degree or above
- 3 years of experience in risk strategy operations, risk control, Trust & Safety, or content/moderation governance.
- AI & LLM Application Proficiency: Familiar with Large Language Models (LLMs), multi-modal models, and their practical applications in risk control and content governance.
- Able to use AI-assisted tools for risk discovery, case analysis, quality calibration, and workflow improvement, and critically validate their outputs and limitations. Experience translating operational needs into clear requirements for algorithm and engineering teams.
- Data Insight & Analysis: Strong analytical thinking and data sensitivity. Proficient in SQL and data analysis tools, with solid experience in A/B testing. Able to identify risk patterns, investigate root causes, and turn data and case-review findings into measurable strategy and operational improvements.
- Cross-Cultural Communication & Execution: Excellent cross-functional collaboration and project management skills. Able to write clear SOPs and implementation guidance, drive calibration and training, and manage multiple priorities in a global, cross-cultural environment.
Preferred Qualifications
- Experience in LIVE risk strategy operations, moderation quality improvement, or global safety policy implementation is preferred.
- Hands-on experience applying AI/LLMs to case analysis, quality calibration, or operational workflow automation is a strong plus.
Additional Information
- Posted: today