AI Data Operation Specialist New Grad - TikTok Live

Responsibilities

About the Team The livestream industry has seen tremendous growth in recent years and has become the next growth driver for TikTok global business. It also brings great joy to users globally and it creates a new channel for our creators to show themselves. We are seeking an AI Data Operation Specialist to join our team to lead quality initiatives in content moderation—leveraging both human labeling and machine learning models, including Large Language Models (LLMs). This role plays a critical part in upholding content quality across the TikTok Live platform. The ideal candidate will be deeply involved in training AI models, analyzing moderation data to extract actionable insights, resolving complex content scenarios, and working closely with partner teams to ensure effective issue resolution. Success in this role requires strong analytical thinking, high ownership, and the ability to collaborate across cross-functional teams. A keen eye for detail and a proactive mindset toward challenging existing processes and driving continuous improvement are essential. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Detailed responsibilities include: - Ensure high-quality content benchmarking across BPO teams, support the setup, onboarding, and training of new BPO teams. Manage policy clarifications, calibrations, and arbitration processes. Analyze BPO team performance to identify knowledge gaps and systemic issues. - Handle content labeling for specific queues based on cross-functional business requirements, analyze labeled content to identify trends and provide insights to project teams and independently manage quality evaluation initiatives, delivering actionable analytical insights. - Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning; highlight the algorithm team with supporting examples for any potential gaps in LLM decision-making, draft, revise, and quality-check content to explore and enhance the synergy between human input and data in LLM training. - Analyze moderation and labeling data from multiple queues to derive a process or market specific trend/correlation. Arrange supporting data points for impact analysis and solution planning. - Custodian of all quality specific artifacts for the content moderation scope, generating creative solutions, including the use of technology and tools, to enhance the quality of both individual and team outputs.

Qualifications

Minimum Qualification(s) - Bachelor’s degree in Business, Data Science, Computer Science, Information Technology, Communications, or a related field discipline. - Knowledge or experience in AI data operation, leveraging AI and ML for content quality management, product operations, or a related analytics role - Proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or similar tools - Basic understanding of machine learning concepts and Large Language Models (LLMs) - Familiarity with dashboard creation and documentation tools - Strong ability to analyze complex datasets, identify patterns, and generate actionable insights - Strong critical thinking and problem-solving skills, with a proactive approach to identifying and driving process improvements Preferred Qualification(s) - Prior experience working in tech, digital content, or platform moderation environments - Able to review and analyze potentially disturbing content with objectivity, professionalism, and emotional resilience - Strong analytical skills with the ability to translate data into actionable insights, influence strategy, and drive impactful solutions - Highly adaptable, proactive, and self-motivated, with a proven ability to thrive in fast-paced and constantly evolving environments - Solid understanding of machine learning principles, including model evaluation metrics and optimization techniques - A deep interest in LLMs, human behavior and user experience, the ideal candidate is an enthusiastic learner who finds engagement with diverse case studies and annotators stimulating - Experience as RLHF (Reinforcement Learning from Human Feedback) annotators for leading AI/LLM companies is strongly preferred

Job Information