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

TikTok; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A major social media platform in Kuala Lumpur is seeking a professional to enhance content understanding and ensure data integrity within advertisement processes. The role involves acting as a bridge between teams, project management, and quality assurance, requiring fluency in German and business-level English. The ideal candidate will have a Bachelor's degree, proficiency in MS Office and G-Suite, and experience in tech industries. This position offers a dynamic work environment focused on innovation and problem resolution.

Qualifications

• Fluent in written and spoken German required for daily communication.
• Knowledge in computer science, model training or machine learning is a plus.
• Experience in a major tech or social media company on labeling/model training is a plus.

Responsibilities

• Act as a bridge between machine learning engineers and labelers.
• Train and host SOP review and application.
• Identify and address operational challenges to improve project flow.

Skills

Fluent in German

Business level English

Problem-solving

Task prioritization

Confidentiality

Education

Bachelor's Degree or equivalent

Tools

MS Office

G-Suite

Job description

The Global Monetization Integrity 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. As we continue to add advertising on TikTok, this team is critical in assuring a joyful and creative ads experience for the community.

TikTok DCC (Data Cycling Centre): The team 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 direct content understanding About the role: Your main responsibility is to act as a bridge between machine learning engineers and labelers, ensuring the accurate application of structure to unstructured data such as video, images, text, etc. Responsibilities: 1.

Responsibilities

Project Readiness, Delivery & Reporting:

• Cooperate with Pillar DUS on project support and requirements.

Provide project specific insights, RCA and business metrics. ( Cooperate with XFN's where required, delegated)

• Template application, selection: Work with FA's and DCC on the use, application and criteria for Labeling Template use.

( TCS

• JIMU / LP
• Neeko )
• SOP Creation / Iteration: Align with RD, BP on requirements, adhere to SOP template.

Maintain and update SOP during project lifecycle mapping to any change in requirements or RCA feedback.

• Queue Creation + Injection: Create Live and where required Practice, Test and 2RQA Queues.

Across TCS and LP. Liase with FA for support. RD to own complex Queue injections. DUS to support uploading and injection of pre-identified data sets.

• Creation of GDS: Help create, maintain and iterate the Golden Data Set.

CS Exam creation linked to GDS. 2. Training and Quality Adherence and Integrity:

• Train, Host or Record SOP review and application.

Distribute to internal BD teams. ( LMS

• Absorb)
• Monitor the quality of project outputs against KPIs and quality standards, taking corrective actions as necessary to maintain high standards of data accuracy and integrity.
• Queue Health Check: Perform periodic reviews and audits of ongoing projects to identify potential issues or areas for improvement, implementing solutions to enhance project outcomes.

3. Process Optimization and Problem Resolution:

• Identify and address operational challenges or inefficiencies, recommending and implementing process improvements to enhance project flow and compliance with best practices.
• Assist in the training and development of DUS team members to ensure they are equipped to meet project demands and quality expectations.

Qualifications

Minimum qualifications: 1. Fluent in written and spoken required language (German - The level of proficiency required is high - this will be used for market specific projects and daily communication) plus business level English. 2. Bachelor's Degree or equivalent education/experience; knowledge in computer science, model training or machine learning is a plus;

3. Computer fluency and understanding of software and advanced internet functions; 4. Working experience in a major tech or social media company on labeling/model training, ads/content safety, training or related experiences is a plus; 5. Proficient skills in MS Office; G-Suite;

Preferred qualifications: 1. Excellent problem-solving, task prioritization, follow-up, and quick learning skills. 2. Ability to maintain a high degree of confidentiality while meeting strict deadlines.