Responsibilities
About the team
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.
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.
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Responsibilities:
1. 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
2. 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
3. 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 qualifications:
1. Proficient in English and Spanish is required. English will be utilized as the primary language for work, while Spanish will be used for market specific projects.
2. 0-3 years of full-time working experience with data/business analytics education/experience - internships highly valued
3. Proficiency in data interpretation and analysis; Interest in AI and Machine Learning concepts, particularly in the field of data annotation
4. Excellent verbal and written communication skills for clear and effective communication with both requestors and labellers
5. Demonstrates learning agility with strong problem solving skills
6. Self-starter who is driven to deliver impactful outcomes
Preferred qualifications:
1. Some experience in project management with organizational skills to manage multiple tasks concurrently, preferably in a data environment
2. Strong technical skills in Excel, SQL and scripting languages (Python, R) are a plus