Responsibilities
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.
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 labelers if needed
- Ensure that labelling rules meet model training requirements
2. Quality improvement and assurance
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- 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 Arabic and English: English will be the primary language for internal communication, while additional languages will be used for market-specific projects.
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.