Product Intern – AI Content Understanding

Job Description

AI Product Manager Intern (TikTok Product-Content Ecosystem) | TikTok

The Tone:
This is an internship at TikTok, with the specific location not specified in the listing. TikTok is a leading destination for short-form mobile video, focused on inspiring creativity and bringing joy to its users globally. This role is crucial for maintaining the health and prosperity of TikTok’s content ecosystem, directly impacting daily active users in the long term. The team dives deeply into tracking the content ecosystem, identifying challenges and opportunities, and collaborating with RD on model recognition, content understanding, and algorithms to optimize traffic and user/creator experiences. This internship offers hands-on experience and industry exposure, allowing students to apply knowledge in real-world scenarios and build a foundation for professional growth.

The TL;DR
• Role: Internship
• Type: Temporary (12 weeks)
• Location: Not specified
• Pay: $35 hourly
• Team: Content Ecosystem team
• Mission: Track the content ecosystem, identify opportunities, and collaborate with RD to enhance model recognition, content understanding, and algorithms to balance traffic, optimize distribution, and improve user and creator experiences.

What You’ll Actually Do
• Content Strategy: Drive content understanding and classification across TikTok’s global ecosystem, including moderation, labeling, and multilingual content comprehension.
• Safety Systems: Improve the accuracy, scalability, and coverage of AI-powered content detection systems to ensure platform safety.
• Cross-functional Collaboration: Collaborate with cross-functional teams including Policy, Trust & Safety, Engineering, Data Science, and Operations to identify gaps and define robust product solutions.
• Product Capability Building: Translate business needs and regional requirements into clear product roadmaps and deliverables, building core capabilities such as multimodal understanding, data pipelines, and annotation tools.
• Performance Evaluation: Define evaluation frameworks (e.g., precision, recall) and run experiments to continuously improve model performance and effectiveness.

The Must-Haves
• Background: Currently pursuing an undergraduate or graduate degree with a strong interest in AI products, content ecosystems, or online safety.
• Experience: Able to commit to a 12-week internship during Summer 2026.
• Skills: Data analysis and metric definition, cross-functional communication, product roadmap development, and experiment design for model performance.
• Bonus: Prior internship experience in AI/ML products, content platforms, or trust & safety domains; familiarity with global markets or cross-cultural environments.