Ecosystem Content Quality & Policy Specialist

TikTok; Kuala Lumpur; On-site; MYR 78,000 - 123,000; Full time

Job summary

TikTok Malaysia is seeking a data quality and governance specialist to join the ADSO team, focusing on safety and non-safety data annotation and review processes. The role emphasizes QA of AI training data, policy interpretation, and maintaining data credibility across international products.

You will collaborate with policy, product, and engineering teams to ensure high-quality data, effective standards, and scalable solutions while driving continuous improvement in execution quality.

Qualifications

• Bachelor's degree or equivalent; strong interest in content ecosystems, platform governance, or AI data quality.
• Proficient in English as working language; fluent in Mandarin Chinese for reviewing Mandarin content.
• 1+ years in QA, content governance, content judgment/review, quality inspection, strategy, or related fields.

Responsibilities

• Deeply participate in quality assurance for key data assets such as AI training data and test sets; handle content issue discovery and policy judgment.
• Develop and maintain core standards; ensure policy implementation and alignment with latest updates.
• Build quality evaluation systems; design test sets for calibration, quality assessment, and audits.
• Identify misuse patterns and process vulnerabilities; drive improvements in review accuracy and collaboration efficiency.
• Act as a bridge for cross-department collaboration to ensure scalable standards and solutions.

Skills

Quality assurance

Content governance

Data analysis

Education

Bachelor's degree or equivalent

Job description

TikTok Malaysia is seeking a data quality and governance specialist to join the ADSO team, focusing on safety and non-safety data annotation and review processes. The role emphasizes QA of AI training data, policy interpretation, and maintaining data credibility across international products.

You will collaborate with policy, product, and engineering teams to ensure high-quality data, effective standards, and scalable solutions while driving continuous improvement in execution quality.