Content Quality Specialist - Turkish

TikTok; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

TikTok's Safety Model Operations (SMO) in Kuala Lumpur seeks a detail-oriented professional to drive QA for content safety models and ground truth standards. You will curate high-risk edge cases and translate policy into executable guidelines, collaborating with global teams.

The role emphasizes deep data analysis and continual workflow improvements, with Turkish liaison duties for the local market. Fluent English and strong analytical skills are essential for fast-paced cross-border work.

Qualifications

• Proven experience in internet Trust & Safety, QA, AI data evaluation, or policy operations.
• Strong logical reasoning and synthesis skills; able to navigate complex business scenarios and deliver structured solutions.
• Professional working proficiency in English with excellent written and verbal communication.
• Highly self-motivated with strong ownership; able to handle fast-paced, cross-border collaboration and multiple tasks.
• Turkish proficiency is required for daily liaison with the local Turkish market team.

Responsibilities

• Construct and iterate the core Golden Sets for safety data standards and global enforcement teams.
• Lead deep-dive analyses to identify misapplication patterns and risk evolution trends; translate into SOPs.
• Drive closure of content safety data loops; collaborate with Operations, Algorithm, Product, and global teams.
• Systematize QA methodologies and track key data metrics to improve accuracy and efficiency.

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. This includes:

• Conducting detailed reviews and complex RCAs 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

Responsibilities

1. Construct and iterate the core Golden Sets for the content safety ecosystem. Curate long-tail, high-risk, and complex edge cases to establish highly accurate data standards (Ground Truth) for platform safety policies, AI model evaluation, and global enforcement teams.
2. Conduct deep-dive analyses on high-risk and highly debated safety cases to accurately identify misapplication patterns and risk evolution trends. Lead the synthesis and abstraction of complex rules, translating macro policies into highly logical and executable Standard Operating Procedures (SOPs) and operational guidelines.
3. Drive the content safety data closed-loop. Collaborate cross-functionally with Operations, Algorithm, Product, and global teams to identify system vulnerabilities based on Golden Set metrics, achieving bidirectional improvements in human review quality and AI agent interception efficacy.
4. Systematize universal methodologies for the content quality management framework and establish robust daily Quality Assurance (QA) mechanisms. Track and attribute core data metrics to enhance overall data accuracy and operational efficiency.

Qualifications

Minimum Qualifications

1. Proven experience in internet Trust & Safety, Quality Assurance (QA), AI data evaluation, or policy operations.
2. Exceptional logical reasoning and synthesis skills. Proven ability to navigate complex and ambiguous business scenarios to identify underlying root causes and independently deliver structured solutions.
3. Professional working proficiency in English. Extreme attention to detail and standard consistency, paired with outstanding cross-cultural written and verbal communication skills.
4. Highly self-motivated with a strong sense of ownership. Capable of embracing uncertainty in a fast-paced, cross-border collaborative environment, effectively driving multiple parallel tasks to deliver solid business results.
5. Turkish proficiency is also required, as it is mandatory for daily liaison with the local team in the Turkish market and the accurate communication of business information.

Preferred Qualifications

• Familiarity with machine learning logic and data labeling frameworks is a strong plus.