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Open nowPosted 18 hours ago

Safety Model Operation Project Intern (Safety Model Operations) - 2027 Start

TikTok4,308 open roles

Where
Singapore
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Your applicationOpen nowSafety Model Operation Project Intern (Safety Model Operations) - 2027 StartTikTok · Singapore
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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. TikTok postings stay open a median of 28 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 18 hours ago

TikTok median: 28 days open

The posting

About the Team Our mission is to build a world where people can safely discover, create, and connect. The Safety Operations team supports international product safety and related model data operations. The team contributes to the training and optimization of safety-related models, validates model effectiveness, supports the improvement of safety strategies, and helps improve moderation efficiency to protect the platform and its users. The Operational Excellence function helps Safety Model Operation teams turn improvement opportunities into practical, measurable ways of working. This internship supports project implementation across data analysis, project coordination, process design, operational standardization, and AI-assisted automation.

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.

Responsibilities - Support the planning and execution of operational excellence projects across Safety Model Operation teams, maintaining timelines, milestones, dependencies, and action items while escalating delivery risks when needed. - Analyze operational data to identify trends, bottlenecks, and improvement opportunities, and translate findings into clear, actionable recommendations. - Coordinate with cross-functional stakeholders to gather requirements, align priorities and ownership, validate operational inputs, and support resource planning and coordination. - Map, design, document, and standardize workflows and operating processes, including business requirements, implementation guidance, and supporting materials. - Support the rollout and adoption of new processes and internal tools through information collection, validation, training sessions, and ongoing stakeholder support. - Explore practical applications of AI and large language model tools to automate repetitive tasks and improve operational efficiency, while preparing concise project updates and stakeholder-ready summaries of progress, decisions, risks, and next steps.

Minimum Qualification(s) - Bachelor's students in engineering, economics, information systems, or another related discipline. - Relevant coursework, school projects, internships, or practical experience involving data analysis, project coordination, stakeholder management, or timeline management. - Strong analytical and structured thinking, with the ability to break down ambiguous problems and organize information into actionable steps. - Good prioritization and execution skills, with the ability to manage details and follow through on agreed actions. - Clear written and verbal communication skills, with the ability to collaborate effectively across teams and present work to different audiences. - Proficiency in English and Chinese, for the job will involve coordinating with the Chinese team. - A hands-on, proactive, curious, and collaborative working style, with strong attention to detail, a willingness to learn quickly, and the ability to commit to an internship of at least 3 months and work at least 3 days per week.

Preferred Qualification(s) - Experience using data analysis tools to organize, interpret, and communicate operational data. - Familiarity with project management methods, process mapping, workflow documentation, or operational standardization. - AI literacy and an interest in applying AI or large language model tools to workflow automation and productivity improvement. - Interest in technology, platform safety, model operations, or operational excellence.

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