Content Risk Evaluation Specialist (Mandarin Speaking) - Safety Model Operations

TikTok Inc.; Kuala Lumpur; On-site; MYR 54,000 - 90,000; Full time

Job summary

TikTok's Safety Model Operations (SMO) team builds, optimizes, and maintains machine learning models and processes to support Trust & Safety. The SMO Delivery Team ensures quality assurance across projects and helps identify risks and improve workflows.

You will work with cross‑functional partners to translate regulations into guidelines, monitor content risk, and produce risk assessments to guide platform rules. Mandarin proficiency is required for daily liaison with the China team.

Qualifications

• Bachelor's degree or higher in journalism, sociology, or related fields.
• Keen sense of content safety and online awareness; able to identify implicit risks and understand policies.
• Strong pattern summarization, content review, and monitoring using common tools like Excel.
• Flexible thinking, responsibility, and cross‑department coordination; strong emergency response capabilities.
• Mandarin proficiency required for daily liaison with the China team and accurate business communication.

Responsibilities

• Interpret regulations, community standards, and platform policies, turning them into actionable guidelines.
• Monitor UGC/PGC content and identify explicit/implicit risks and borderline content.
• Handle emergent content safety risk events, prioritize actions, and coordinate cross‑department resolution.
• Produce risk assessment reports to guide platform rules and review strategies.
• Use content review tools and data analysis tools to implement risk prevention strategies.

Skills

Content safety awareness

Cross-department communication

Emergency response capabilities

Rapid learning/adaptation

Education

Bachelor's degree or higher (journalism/sociology or related)

Tools

Excel

Content review tools

Public opinion monitoring systems

Data analysis tools

Job description

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.

• 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

Key Responsibilities

• Interpret regulations, community standards, and platform policies, converting them into actionable guidelines. Build a case database to ensure consistent judgments across different scenarios.
• Monitor the content ecosystem of user-generated content (UGC) and producer-generated content (PGC), proactively identifying explicit and implicit content risks, as well as borderline content risks, and extracting risk characteristics.
• Handle emergent content safety risk events, quickly defining the issues and prioritizing actions, promoting cross-department collaboration to complete the resolution loop and optimize the review process.
• Produce risk assessment reports to provide decision support for optimizing platform rules and review strategies.
• Proficient in using content review tools, public opinion monitoring systems, and data analysis tools, collaborating with operations, safety product, and other teams to implement risk prevention strategies.

Qualifications

Minimum Qualifications

• Bachelor's degree or higher, preferably in journalism, sociology, or related fields.
• Possess a keen sense of content safety and online awareness, able to accurately identify implicit risks and understand policies and rules.
• Strong pattern summarization abilities, with proficiency in content review, public opinion monitoring, and common tools like Excel.
• Flexible thinking, strong sense of responsibility, and good cross-department communication and coordination skills, as well as emergency response capabilities.
• Strong learning ability and high comprehension, able to quickly adapt to changes in regulatory policies and the content ecosystem of the platform.
• Mandarin proficiency is also required, as it is mandatory for daily liaison with the China team in the China market and the accurate communication of business information.

Preferred Qualifications

• At least 1 year of experience in internet content operations, content review, or content safety-related roles, with experience in mainstream domestic content platforms preferred.

Responsibilities

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.

• 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

Key Responsibilities

• Interpret regulations, community standards, and platform policies, converting them into actionable guidelines. Build a case database to ensure consistent judgments across different scenarios.
• Monitor the content ecosystem of user-generated content (UGC) and producer-generated content (PGC), proactively identifying explicit and implicit content risks, as well as borderline content risks, and extracting risk characteristics.
• Handle emergent content safety risk events, quickly defining the issues and prioritizing actions, promoting cross-department collaboration to complete the resolution loop and optimize the review process.
• Produce risk assessment reports to provide decision support for optimizing platform rules and review strategies.
• Proficient in using content review tools, public opinion monitoring systems, and data analysis tools, collaborating with operations, safety product, and other teams to implement risk prevention strategies.

Qualifications

Qualifications

Minimum Qualifications

• Bachelor's degree or higher, preferably in journalism, sociology, or related fields.
• Possess a keen sense of content safety and online awareness, able to accurately identify implicit risks and understand policies and rules.
• Strong pattern summarization abilities, with proficiency in content review, public opinion monitoring, and common tools like Excel.
• Flexible thinking, strong sense of responsibility, and good cross-department communication and coordination skills, as well as emergency response capabilities.
• Strong learning ability and high comprehension, able to quickly adapt to changes in regulatory policies and the content ecosystem of the platform.
• Mandarin proficiency is also required, as it is mandatory for daily liaison with the China team in the China market and the accurate communication of business information.

Preferred Qualifications

• At least 1 year of experience in internet content operations, content review, or content safety-related roles, with experience in mainstream domestic content platforms preferred.