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. Project Readiness, Delivery & Reporting:
- Cooperate with Piller DUS on project support and requirements. Provide project specific insights, RCA and business metrics. ( Cooperate with XFN's where required, delegated)
- Template application, selection: Work with FA's and DCC on the use, application and criteria for Labeling Template use. ( TCS - JIMU / LP - Neeko )
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- SOP Creation / Iteration: Align with RD, BP on requirements, adhere to SOP template. Maintain and update SOP during project lifecycle mapping to any change in requirements or RCA feedback.
- Queue Creation + Injection: Create Live and where required Practice, Test and 2RQA Queues. Across TCS and LP. Liase with FA for support. RD to own complex Queue injections. DUS to support uploading and injection of pre-identified data sets.
- Creation of GDS: Help create, maintain and iterate the Golden Data Set. CS Exam creation linked to GDS.
2. Training and Quality Adherence and Integrity:
- Train, Host or Record SOP review and application. Distribute to internal BD teams. ( LMS - Absorb)
- Monitor the quality of project outputs against KPIs and quality standards, taking corrective actions as necessary to maintain high standards of data accuracy and integrity.
- Queue Health Check: Perform periodic reviews and audits of ongoing projects to identify potential issues or areas for improvement, implementing solutions to enhance project outcomes.
3. Process Optimization and Problem Resolution:
- Identify and address operational challenges or inefficiencies, recommending and implementing process improvements to enhance project flow and compliance with best practices.
- Assist in the training and development of DUS team members to ensure they are equipped to meet project demands and quality expectations.
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 labelers
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