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.
Minimum Qualifications
- Strong written and spoken English.
- Excellent analytical thinking and attention to detail.
- Strong decision-making and problem-solving skills.
- Good computer literacy and comfortable with learning new internal tools and systems.
- Comfortable reviewing sensitive or graphic content.
- Able to work rotating shifts, including weekends and public holidays.
- Strong communication skills and ability to work collaboratively in a fast-paced environment.
Preferred Qualifications
- 2+ years of experience in content moderation, Trust & Safety, content review, or data labeling operations within a technology company (e.g. social media, AI, e-commerce, search, or online platforms).
- Experience reviewing content (AIGC), including text, images, videos, or synthetic media.
- Experience in quality assurance, auditing, or content quality review.
- Familiarity with interpreting and applying content moderation or advertising policies.
- Experience participating in calibration sessions or maintaining annotation quality and consistency.
Company profile
TikTok
TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.
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