Team Introduction

TikTok DCC (Data Cycling Centre):
The team focuses on building data-driven solutions and enhancing German-content understanding for both internal stakeholders and external German users, aiming to solve significant problems through a combination of human and direct content understanding

About the role:

A Data Understanding Specialist (German speaking) is a critical player at the junction of data collection, model development, and project success. Their main responsibility is to act as a bridge between machine learning engineers and labellers, ensuring the accurate application of structure to unstructured data for German such as video, images, text, etc. supporting the building of world class machine learning solutions.

Responsibilities

Labelling rules clarification and training
- Define clear and unambiguous labelling rules for German-content in the German market to ensure high quality labelling output
- Simplify labelling rules to reduce contextual knowledge for labelling while providing training to German labellers if needed
- Ensure that labelling rules meet model training requirements for the German market

Quality improvement and assurance

• Monitor and review quality of labelled data for the German market
• Timely root-cause identification of quality issues for remediation
• Identify opportunities and areas of improvement to optimize delivery

Project management

• Deliver projects on time and on target flagging any key risks that arise
• Deep dive into issues that arise during project lifecycle with solutions that ensure delivery
• Manage German stakeholders to drive transparency across the data delivery pipeline

Qualifications

Minimum Qualification(s):
- 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.