Data Understanding Specialist Graduate, German Market (Data Cycling Center) - 2026 Start (BS/MS)

Responsibilities

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

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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. 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 Qualification(s):
1. Fluency in German is required as the role requires communication with German markets & stakeholders, as well as fluency in English as it is the working language.
2. Undergraduate or postgraduate student currently pursuing a degree in computer science, model training.
3. Computer fluency and understanding of software and advanced internet functions;
4. Proficient skills in MS Office; G-Suite;

Preferred Qualification(s):
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.
3. Undergraduate or postgraduate student currently pursuing a degree in machine learning is a plus;
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;

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com