Job Description

Team Introduction:

TikTok's Content Ecosystem team is responsible for the health and prosperity of content users and creators to improve DAU in the long term. Our team deeply dives into the following fields: tracking the whole content ecosystem and finding potential challenges and opportunities; cooperating closely with the RD team on model recognition, content understanding, and algorithms, targeting to balance the traffic in different formats, optimize traffic distribution, content diversifications, creator experience of moderation, user experience of interactions, and more problems.

We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.

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.

We support credit-bearing internship registration, subject to the intern's school requirements and company approval.

Successful candidates must be able to commit to either of the following Internships

-From May to August (onboard by 11 May 2026)

Responsibilities:

- Pay attention to the content ecosystem, balance the relationship between product brands, business development and user experience, lead the sorting and formulation of the framework and details of policy review, deep dive into the issues of existing policies, provide optimization suggestions, and ensure policy rationality and enforceability

- Monitor and review key business data indicators, collect feedback from collaborative departments, provide suggestions to improve the systems and policies via summarizing and abstracting issues and cases

- Responsible for the training and implementation of policy, support the trainers to effectively train the content reviewer team about platform policy, follow up the training effect and lead the optimizations