Data Understanding Specialist - Data Cycling Center - French Market (KL)

TikTok; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading social media company seeks a qualified candidate for a role focused on project readiness, training, and quality adherence in Kuala Lumpur. You will work on creating and maintaining templates, monitoring project quality, and identifying operational inefficiencies. Ideal candidates will have a Bachelor's degree, fluency in French, and experience in tech or social media. Strong problem-solving skills and proficiency in MS Office and G-Suite are also essential. Join a dynamic team that prioritizes user safety and content integrity.

Qualifications

• Fluent in written and spoken French (high proficiency) plus business-level English.
• Knowledge in computer science, model training, or machine learning is a plus.
• Working experience in a major tech or social media company.

Responsibilities

• Cooperate with Pillar DUS on project support and requirements.
• Train, host or record SOP reviews and application sessions.
• Identify and address operational challenges or inefficiencies.

Skills

Fluent in written and spoken French

Business-level English

Excellent problem-solving skills

Task prioritization

Quick learning skills

Education

Bachelor’s degree or equivalent education/experience

Tools

MS Office

G-Suite

Job description

The Global Monetization Integrity (GMI) team ensures TikTok users have a safe experience while viewing advertisements. They work closely with advertisers to create ad policies, manage content review processes, and more. The Data Cycling Centre (DCC) focuses on building data‑driven solutions and enhancing content understanding for both internal stakeholders and external users, aiming to solve significant problems through a combination of human and machine‑driven content understanding. This role acts as a bridge between machine‑learning engineers and labelers, ensuring the accurate application of structure to unstructured data such as video, images, and text.

Responsibilities

Project Readiness, Delivery & Reporting

• Cooperate with Pillar DUS on project support and requirements.
• Provide project‑specific insights, root‑cause analysis and business metrics (cooperate with XFN’s where required).
• Template application and selection: work with FAs and DCC on the use, application, and criteria for labeling template use.
• SOP creation, iteration, and maintenance: align with RD and BP on requirements, adhere to SOP template and update during the project lifecycle.
• Queue creation and injection: create live queues, and, where required, practice, test, and 2RQA queues; liaise with FA for support.
• Creation of Golden Data Set (GDS): help create, maintain, and iterate the GDS; create CS exam linked to the GDS.

Training and Quality Adherence and Integrity

• Train, host or record SOP reviews and application sessions.
• Distribute content to internal BD teams via LMS.
• Monitor the quality of project outputs against KPIs and quality standards, taking corrective actions as necessary.
• Queue health check: perform periodic reviews and audits of ongoing projects to identify potential issues or areas for improvement and implement solutions.

Process Optimization and Problem Resolution

• Identify and address operational challenges or inefficiencies, recommending and implementing process improvements.
• Assist in the training and development of DUS team members to meet project demands and quality expectations.

Qualifications

• Fluent in written and spoken French (high proficiency) plus business‑level English.
• Bachelor’s degree or equivalent education/experience; knowledge in computer science, model training, or machine learning is a plus.
• Computer fluency and understanding of software and advanced internet functions.
• Working experience in a major tech or social media company on labeling/model training, ads/content safety, training or related experiences.
• Proficient skills in MS Office and G‑Suite.
• Excellent problem‑solving, task prioritization, follow‑up, and quick learning skills.
• Ability to maintain a high degree of confidentiality while meeting strict deadlines.

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