You'll work closely with legal and public policy teams to develop key partnerships between TikTok and strategic law enforcement agencies with a focus on Internet safety and security.
You'll develop proactive outreach programs to law enforcement agencies in APAC, to raise awareness on TikTok processes such as submissions of emergency data disclosure requests, other requests relating to data, and TikTok’s policies for protecting user privacy and responding to legal requests.
You'll support child safety and emergency response teams, and coordinate with internal investigation teams to develop referral processes for law enforcement agencies....
Develop, iterate, and maintain policies to ensure age-appropriate content on the platform, balancing youth safety and harm prevention with youth autonomy and expression.
Ensure policies and standards on youth harms are clear, enforceable, and consistent with international child protection frameworks and legal obligations.
Support on youth-specific approaches to feature and product policy — including account defaults, recommendations, parental controls, and interaction features — ensuring product design reinforces safety policy intent....
Model Quality & Workflow Design: Design, manage, and optimize end-to-end workflows to improve machine model performance in content policy enforcement — including signal detection, rejection accuracy, and leakage reduction. Develop training data pipelines, QA processes, and performance tracking systems aligned to model improvement goals.
Adversarial Testing & Risk Identification: Conduct structured adversarial testing on AI models, features, and content policies to surface vulnerabilities, edge cases, and emerging risk trends. Explore model behaviour across contexts and user journeys to identify failure modes not captured in standard evaluations.
Root Cause Analysis & Error Optimization: Conduct structured root cause analysis (RCA) on model errors — including overkills, leakages, and misclassification — and translate findings into actionable model improvement recommendations. Partner with Algo and product teams to close root causes through memory insertion, threshold adjustments, rewrite rules, or policy iteration....
Participate in developing and continuously improving data quality standards, evaluation criteria, and acceptance guidelines for large language model (LLM) training and evaluation scenarios.
Review and evaluate data outputs based on established quality standards, identify issues, and drive corrective actions to ensure data accuracy and consistency.
Deeply participate in the assessment and discussion of complex, ambiguous, and borderline cases, and translate insights into reusable evaluation guidelines and knowledge assets....
