TikTok Platform Responsibility Search team is dedicated to building a safer, more trustworthy, and reliable search experience for TikTok s global community.
We proactively identify and mitigate emerging risks across the search ecosystem, combining data-driven strategies, AI-powered solutions, and cross-functional collaboration to address evolving content safety challenges. Working closely with Product, Policy, Engineering, and Operations teams, we develop scalable governance frameworks, strengthen risk detection and response capabilities, and continuously improve the quality and effectiveness of search safety solutions.
Our mission is to protect user trust, uphold platform integrity, and empower safe and responsible content discovery at global scale.
As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.
Successful candidates must be able to commit to 5 days on-site per week and at least 3 months long internship period, with immediate availability preferred.
Responsibilities:
- Own search safety operations in the US market, including risk identification, risk mitigation, and public sentiment management. Collaborate closely with cross-functional teams, including Policy, Product Governance (PG), Government Relations (GR), and Operations (OPS), to define risks associated with major events and emerging public concerns, align on governance objectives and mitigation approaches, and drive the implementation and effectiveness evaluation of relevant product features and safety strategies.
- Conduct proactive risk monitoring, respond to escalations and feedback, assess potential risks, and implement appropriate mitigation strategies. Monitor and respond to emerging social media incidents, trending topics, and public sentiment risks in the US market.
- Partner closely with the Rapid Response team on day-to-day operations, supporting request execution, issue investigation, strategy reviews, data analysis, and access approval processes.
- Collaborate with US Content Moderation Operations teams to drive the implementation of safety-related models, data annotation processes, and governance strategies. Monitor and evaluate moderation quality, model performance, and strategy effectiveness in the US market. Minimum Qualifications
- Currently pursuing an Undergraduate related discipline.
- Strong cross-functional communication and stakeholder management skills, with the ability to clearly communicate requirements, align on solutions, and drive project execution across different teams and functions.
- Good understanding of social media platforms and content-driven products, with the ability to identify and assess potential content safety risks and emerging platform challenges. Good awareness of global public discourse, international politics, and emerging social issues, with sound judgment and a genuine interest in platform safety, risk management, and public sentiment governance.
- Solid analytical and problem-solving skills, with a results-oriented mindset and the ability to translate insights into actionable solutions. Detail-oriented, hands-on, accountable, and capable of driving initiatives through execution.
- Proven learning agility and adaptability, with the ability to quickly understand new business domains, navigate complex organizational structures, and leverage emerging technologies such as large language models (LLMs). Ability to manage risks, navigate conflicts, and operate effectively in high-pressure environments.
- Fluency in written and spoken Chinese is needed to manage stakeholders in China market.
Preferred Qualifications:
- Prior experience in content operations, strategy operations, or related functions within social media platforms, content-driven products, or internet companies is preferred.
- Experience in search, recommendation systems, platform safety, content governance, or public sentiment management for global digital platforms is preferred.
- Experience with LLM applications, model optimization, AI agent development, workflow automation, or model performance evaluation is a plus.