Mandarin Content Quality & Evaluation Specialist

TikTok; Kuala Lumpur; On-site; MYR 42,000 - 70,000; Full time

Job summary

TikTok is seeking an experienced professional for its AI Data Service and Operations team to support safety and non-safety data annotation and review processes across international products.

The role focuses on creating operational guidelines, generating testing sets, analyzing complex cases, and collaborating with Policy, Product, Engineering, and Training teams to improve reviewer accuracy and enforcement quality.

Qualifications

• Bachelor’s degree or equivalent experience, preferably with policy, content moderation, or quality-related work.
• Proficient in English as a primary working language and fluent in Mandarin Chinese for reviewing, analyzing, and assessing content published in the Mandarin language.
• 1+ years of experience in quality assurance, training, editorial review, or a related field;
• Expertise in content moderation policy, operational guideline development, and enforcement workflows.
• Strong command of English with exceptional attention to detail, clarity, and linguistic consistency, and excellent written communication skills with emphasis on precision, clarity, and operational feasibility.
• Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows, and experience evaluating qualitative content and using data to inform process improvements.
• Ability to design and deliver interactive, engaging training materials and sessions.

Responsibilities

• Develop, refine, and maintain Operational Guidelines for assigned policy areas, translating policy intent into clear, actionable instructions and ensuring alignment with policy changes, platform updates, and operational best practices.
• Produce, validate, and maintain high-quality Testing Sets for calibration, QA evaluation, arbitration, and operational assessments, ensuring balanced coverage of scenarios, content types, and edge cases.
• Analyze complex, ambiguous, and high-risk cases to provide structured clarifications, reduce enforcement discrepancies, and inform OG and Testing Set improvements.
• Support arbitration, QA, training, and calibration workflows by identifying misapplication patterns and operational gaps, driving measurable improvements in reviewer accuracy and consistency.
• Collaborate cross-functionally with Policy, Governance, Product, Engineering, Algo, and Training teams to ensure OGs and Testing Sets are scalable, actionable, and effectively translated into SOPs and training materials.
• Track quality and operational metrics to identify improvement opportunities and drive continuous enhancements in enforcement accuracy, workflow efficiency, and cross-team effectiveness.
• Contribute to ad-hoc quality and governance initiatives that enhance enforcement quality, operational effectiveness, and team performance.

Skills

English proficiency

Mandarin Chinese

Quality assurance experience

Editorial review

Training design

Education

Bachelor’s degree or equivalent experience

Job description

TikTok is seeking an experienced professional for its AI Data Service and Operations team to support safety and non-safety data annotation and review processes across international products.

The role focuses on creating operational guidelines, generating testing sets, analyzing complex cases, and collaborating with Policy, Product, Engineering, and Training teams to improve reviewer accuracy and enforcement quality.