About the team The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. 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.
Key Responsibilities
- Develop, refine, and maintain Operational Guidelines for assigned policy areas, translating policy intent into clear, actionable instructions and ensuring alignment with policy changes, platform updates, and operational best practices.
- Produce, validate, and maintain high-quality Testing Sets for calibration, QA evaluation, arbitration, and operational assessments, ensuring balanced coverage of scenarios, content types, and edge cases.
- Analyze complex, ambiguous, and high-risk cases to provide structured clarifications, reduce enforcement discrepancies, and inform OG and Testing Set improvements.
- Support arbitration, QA, training, and calibration workflows by identifying misapplication patterns and operational gaps, driving measurable improvements in reviewer accuracy and consistency.
- Collaborate cross-functionally with Policy, Governance, Product, Engineering, Algo, and Training teams to ensure OGs and Testing Sets are scalable, actionable, and effectively translated into SOPs and training materials.
- Track quality and operational metrics to identify improvement opportunities and drive continuous enhancements in enforcement accuracy, workflow efficiency, and cross-team effectiveness.
- Contribute to ad-hoc quality and governance initiatives that enhance enforcement quality, operational effectiveness, and team performance.
Minimum Qualifications
- Bachelor’s degree in Social Sciences, Arts & Humanities, or a related field.
- Proficient in English as a primary working language, with strong attention to detail, clarity, and linguistic consistency, plus strong written communication skills that help turn complex ideas into practical guidance.
- Internship, academic project, campus organization, or full-time experience in quality assurance, training, editorial review, operations, or a related field is valuable.
- Strong interest in policy, content moderation, quality operations, or related work. Prior exposure through internships, research, projects, or student activities is a plus.
- Familiarity with content moderation policy, operational guideline development, or enforcement workflows through coursework, internships, research, or project work is a plus.
- Demonstrated ability to interpret and apply complex guidelines or policies in writing-focused workflows, and some experience evaluating qualitative content or using data to improve processes. Internship, research, and project experience all count.
- Ability to design and deliver interactive, engaging training materials or learning sessions, whether through internships, campus activities, project work, or full-time experience.
Preferred Qualifications
- Additional experience with content moderation policy, operational guideline development, or enforcement workflows.
- A self-starter mindset, solution-oriented thinking, and the ability to manage multiple priorities in a fast-paced, collaborative environment.
- Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
- Experience collaborating with Policy, Product, Governance, Engineering, or Training teams through internships, projects, research, or full-time roles.
- Knowledge of scenario coverage, positive/negative balance, and dataset validation.
- Excitement to learn quickly, grow with feedback, and build strong cross-functional judgment early in your career.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com