AIGC Model Labeling Specialist

About the Team The ModLab AIGC (Artificial Intelligence Generated Content) Team is part of the Monetization Integrity Operations organization within Trust & Safety. Our team specializes in reviewing, labeling, and evaluating content that powers the next generation of AI moderation systems. By producing high-quality datasets and identifying emerging content trends, we help improve machine learning models, strengthen moderation accuracy, refine policies, and support safer advertising experiences across TikTok's products. We work closely with cross-functional partners including Product, Engineering, Data Science, Policy, Quality, and Machine Learning teams to ensure AI systems continue to evolve responsibly while balancing user safety and business growth.

About the Role As an AIGC Model Labeling Specialist, you will review and label text, images, videos, advertisements, and content to improve TikTok's AI-powered moderation systems. Your work will directly contribute to the development of machine learning models that detect policy-violating content, improve moderation accuracy, and support product innovation across multiple business lines. You'll also help identify emerging trends, provide operational insights, and contribute to improving moderation policies and AI model performance. This role requires strong analytical thinking, attention to detail, sound judgment, and the ability to make consistent decisions in a fast-paced environment.

What You'll Be Doing - Label and categorize content (text, images, video, multimedia) according to established taxonomy standards and moderation policies. - Produce accurate annotations and datasets that help train, evaluate, and improve AI and machine learning models. - Perform quality reviews to ensure labeling consistency and identify opportunities for continuous improvement. - Escalate ambiguous or complex cases appropriately and participate in discussions to improve policy clarity. - Participate in calibration sessions to maintain consistency across reviewers. - Identify emerging content trends and provide structured feedback to improve moderation guidelines, workflows, and AI models. - Work closely with cross-functional teams including Product, Engineering, Policy, Quality Assurance, Data Science, and Operations to improve moderation effectiveness. - Stay updated with evolving moderation policies and ensure consistent application across all assigned work. - Meet productivity, quality, and turnaround time expectations while maintaining high standards.