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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We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
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. Fresh graduate with up to 1 year of full-time working experience with data/business analytics education/experience - internships highly valued. Please indicate your graduation date (month + year) and notice period (if any) clearly in your resume
2. Proficiency in data interpretation and analysis; Interest in AI and Machine Learning concepts, particularly in the field of data annotation
3. Excellent verbal and written communication skills for clear and effective communication with both requestors and labellers
4. Demonstrates learning agility with strong problem solving skills
5. Self-starter who is driven to deliver impactful outcomes
Preferred qualifications:
1. Proficiency in any of the following languages is a plus for supporting respective markets: English will be the primary language for work, while Malay, Arabic, Indonesian, Spanish, Thai, Vietnamese, Portuguese, Filipino, French, German, Turkish, Japanese, Dutch, Russian, Polish, Italian, and Korean will be used for market-specific projects in their respective languages
2. Some experience in project management with organizational skills to manage multiple tasks concurrently, preferably in a data environment
3. Strong technical skills in Excel, SQL and scripting languages (Python, R) are a plus.
Data Privacy Notice
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