Job description

About the Team Our team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language and multimodal models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities - Assist in the optimization and revamp of the Human Moderation queue, supporting product design and execution across task allocation, priority management, processing efficiency, and moderator experience improvement in manual review workflows. - Assist in building and refining metric frameworks related to review efficiency, review quality, and operational collaboration; continuously monitor performance and support strategy iteration based on outcome evaluation. - Participate in the analysis, design, and iteration of LIVE Safety product features and workflows, contributing to stronger content safety governance capabilities and a more trustworthy user experience. - Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback. Minimum Qualifications - Currently pursuing an undergraduate/master degree in computer science, analytics, Information Technology/System or other related discipline. - Foundational understanding of safety, product management or product design, demonstrated through coursework, projects, or internships. - Basic technical proficiency with analytical tools and data sense gained through coursework, projects, or relevant experience. - Good communication skills, able to communicate with cross-functional teammates to clarify pipeline design or SOP training. Preferred Qualifications - Experience on Trust & Safety, moderation, LIVE or risk control - Exposure to AI/ML-driven detection or recommendation systems, including an understanding of their limitations in adversarial or real-time contexts.

Requirements

Must-haves

About the Team
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Assist in building and refining metric frameworks related to review efficiency, review quality, and operational collaboration; continuously monitor performance and support strategy iteration based on outcome evaluation.
Participate in the analysis, design, and iteration of LIVE Safety product features and workflows, contributing to stronger content safety governance capabilities and a more trustworthy user experience.
Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback.
Currently pursuing an undergraduate/master degree in computer science, analytics, Information Technology/System or other related discipline.
Foundational understanding of safety, product management or product design, demonstrated through coursework, projects, or internships.
Basic technical proficiency with analytical tools and data sense gained through coursework, projects, or relevant experience.
Good communication skills, able to communicate with cross-functional teammates to clarify pipeline design or SOP training.

Nice-to-haves

Experience on Trust & Safety, moderation, LIVE or risk control
Exposure to AI/ML-driven detection or recommendation systems, including an understanding of their limitations in adversarial or real-time contexts.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: tiktok
Effort: medium