Data Understanding Specialist - Data Cycling Center - Italian Market (Lisbon)

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

About the role:
A Data Understanding Specialist 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 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 to ensure high quality labelling output
- Simplify labelling rules to reduce contextual knowledge for labelling while providing training to labellers if needed
- Ensure that labelling rules meet model training requirements

Quality improvement and assurance
- Monitor and review quality of labelled data
- 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 stakeholders to drive transparency across the data delivery pipeline

Qualifications

Minimum Qualification(s):
- Fluency in Italian is required as the role requires communication with external stakeholders across the Italian markets, as well as fluency in English as it is the working language.
- Open to fresh grads with data/business analytics education/experience - internships highly valued
- Proficiency in data interpretation and analysis; Interest in AI and Machine Learning concepts, particularly in the field of data annotation
- Excellent verbal and written communication skills for clear and effective communication with both requestors and labellers