Content Enforcement Quality Assurance Associate, Eco Governance - AI Data Service and Operations
Feb 13, 2026 Bangkok, Thailand
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 AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.
This is an early career opportunity, and we are seeking talented individuals to join our team. You will have the opportunity to launch your career, develop professionally, and contribute to meaningful work. We provide a supportive environment where you can grow, innovate, and help shape the future.
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.
Qualifications
Minimum Qualifications
- Completion of Bachelor's degree.
- Relevant internship experience in Policy, Trust & Safety, or Quality Management, or candidates with 1+ years of working experience in Quality Assurance, Training, or Editorial Review.
- Strong command of English with exceptional attention to detail, clarity, and linguistic consistency.
- Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.
- Analytical thinker with experience evaluating qualitative content and using data to inform process improvements.
- Ability to design and deliver interactive, engaging training materials and sessions.
- High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.
Preferred Qualifications
- Prior experience in Content Moderation, AI operations, or Technical Writing is a significant plus.
- Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
- Expertise in content moderation policy, operational guideline development, and enforcement workflows.
- Experience collaborating with Policy, Product, Governance, Engineering, or Training teams.
- Knowledge of scenario coverage, positive/negative balance, and dataset validation.
About the team
The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.
This is an early career opportunity, and we are seeking talented individuals to join our team. You will have the opportunity to launch your career, develop professionally, and contribute to meaningful work. We provide a supportive environment where you can grow, innovate, and help shape the future.
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.
Minimum Qualifications
- Completion of Bachelor's degree.
- Relevant internship experience in Policy, Trust & Safety, or Quality Management, or candidates with 1+ years of working experience in Quality Assurance, Training, or Editorial Review.
- Strong command of English with exceptional attention to detail, clarity, and linguistic consistency.
- Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.
- Analytical thinker with experience evaluating qualitative content and using data to inform process improvements.
- Ability to design and deliver interactive, engaging training materials and sessions.
- High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.
Preferred Qualifications
- Prior experience in Content Moderation, AI operations, or Technical Writing is a significant plus.
- Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
- Expertise in content moderation policy, operational guideline development, and enforcement workflows.
- Experience collaborating with Policy, Product, Governance, Engineering, or Training teams.
- Knowledge of scenario coverage, positive/negative balance, and dataset validation.
About the team
The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.
This is an early career opportunity, and we are seeking talented individuals to join our team. You will have the opportunity to launch your career, develop professionally, and contribute to meaningful work. We provide a supportive environment where you can grow, innovate, and help shape the future.
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.
Qualifications
Minimum Qualifications
- Completion of Bachelor's degree.
- Relevant internship experience in Policy, Trust & Safety, or Quality Management, or candidates with 1+ years of working experience in Quality Assurance, Training, or Editorial Review.
- Strong command of English with exceptional attention to detail, clarity, and linguistic consistency.
- Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.
- Analytical thinker with experience evaluating qualitative content and using data to inform process improvements.
- Ability to design and deliver interactive, engaging training materials and sessions.
- High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.
Preferred Qualifications
- Prior experience in Content Moderation, AI operations, or Technical Writing is a significant plus.
- Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
- Expertise in content moderation policy, operational guideline development, and enforcement workflows.
- Experience collaborating with Policy, Product, Governance, Engineering, or Training teams.
- Knowledge of scenario coverage, positive/negative balance, and dataset validation.
Responsibilities
ResponsibilitiesAbout the team
The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.
This is an early career opportunity, and we are seeking talented individuals to join our team. You will have the opportunity to launch your career, develop professionally, and contribute to meaningful work. We provide a supportive environment where you can grow, innovate, and help shape the future.
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.
Qualifications
QualificationsMinimum Qualifications
- Completion of Bachelor's degree.
- Relevant internship experience in Policy, Trust & Safety, or Quality Management, or candidates with 1+ years of working experience in Quality Assurance, Training, or Editorial Review.
- Strong command of English with exceptional attention to detail, clarity, and linguistic consistency.
- Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.
- Analytical thinker with experience evaluating qualitative content and using data to inform process improvements.
- Ability to design and deliver interactive, engaging training materials and sessions.
- High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.
Preferred Qualifications
- Prior experience in Content Moderation, AI operations, or Technical Writing is a significant plus.
- Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
- Expertise in content moderation policy, operational guideline development, and enforcement workflows.
- Experience collaborating with Policy, Product, Governance, Engineering, or Training teams.
- Knowledge of scenario coverage, positive/negative balance, and dataset validation.
Additional Information
- Job category: Operations
- Posted: Feb 13, 2026