AI Data Safety QA & Operations Specialist

TikTok; Kuala Lumpur; On-site; MYR 72,000 - 96,000; Full time

Job summary

TikTok is seeking a QA professional for its AI Data Service and Operations (ADSO) team in Kuala Lumpur. The role focuses on safety data annotation, policy compliance, and driving high-quality outcomes for internal and external stakeholders.

The candidate will monitor performance, report to stakeholders, and help develop best-practice QA methodologies while navigating ambiguous situations and SMART goal setting. Exposure to sensitive content is required.

Qualifications

• Bachelor’s degree or higher.
• 1 year QA or Trust & Safety/Policy/Content Moderation/Quality experience in a tech or media company.
• Familiar with US up-to-date News & Entertainment content and current events.
• Broad understanding of business needs and strategic thinking.
• Familiar with labeling workflows and upstream/downstream teams.
• Familiar with machine learning and content understanding.
• Strong cross-cultural communication and presentation skills.

Responsibilities

• Work independently and with stakeholders to deliver high performance standards across projects.
• Facilitate regular calibration meetings to maintain knowledge and quality standards.
• Disseminate policy updates and facilitate timely communication of policy questions.
• Perform daily audits and provide analysis of errors and feedback to teams.
• Compile and deliver regular performance data reports to SME and management.
• Conduct RCA escalations through the process.
• Identify areas for performance improvement across markets and drive solutions.

Skills

Quality Assurance

Policy understanding

Content Moderation

Cross-cultural communication

Data analysis

Education

Bachelor’s degree

Tools

TCS

Rock Appeal

Job description

TikTok is seeking a QA professional for its AI Data Service and Operations (ADSO) team in Kuala Lumpur. The role focuses on safety data annotation, policy compliance, and driving high-quality outcomes for internal and external stakeholders.

The candidate will monitor performance, report to stakeholders, and help develop best-practice QA methodologies while navigating ambiguous situations and SMART goal setting. Exposure to sensitive content is required.