AI Data Operations & LLM Training Specialist

TikTok; Singapore; On-site; SGD 40,000 - 70,000; Full time

Job summary

TikTok is seeking graduates to join the LIVE Team, focusing on real-time moderation, data analysis, and ML-driven model improvement. You will engage in labeling, training, and quality initiatives, while onboarding and growing within a fast-paced tech environment.

Successful candidates will pioneer analytics across content moderation, work with cross-functional teams, and contribute to scalable quality processes in a global platform.

Qualifications

• Bachelor’s degree in Business, Data Science, Computer Science, Information Technology, Communications, or related field.
• Proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or similar.
• Basic understanding of machine learning concepts and Large Language Models (LLMs).
• Strong ability to analyze complex datasets, identify patterns, and generate actionable insights.

Responsibilities

• Ensure high-quality content benchmarking across BPO teams, support onboarding and training of new BPO teams; manage policy clarifications, calibrations, and arbitration processes.
• Handle content labeling for specific queues based on cross-functional requirements and provide insights to project teams.
• Train models using large labeled datasets to improve decision-making accuracy; assist in data preparation and cleaning.
• Analyze moderation data from multiple queues to derive trends and plan solutions.
• Custodian of quality artifacts for the content moderation scope, enhancing outputs with technology and tools.

Skills

Data analysis

Data visualization

Machine learning basics

Analytical thinking

Education

Bachelor's degree in Business/Data Science/CS/IT/Communications

Tools

Excel

Tableau

Power BI

Job description

TikTok is seeking graduates to join the LIVE Team, focusing on real-time moderation, data analysis, and ML-driven model improvement. You will engage in labeling, training, and quality initiatives, while onboarding and growing within a fast-paced tech environment.

Successful candidates will pioneer analytics across content moderation, work with cross-functional teams, and contribute to scalable quality processes in a global platform.