Content Quality and Evaluation Specialist (Mandarin Language) - Eco Governance, AI Data Service and Operations

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.

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 or equivalent experience, preferably with policy, content moderation, or quality-related work. - Proficient in English as a primary working language and fluent in Mandarin Chinese for the purpose of reviewing, analyzing, and assessing content published in the Mandarin language. - 1+ years of experience in quality assurance, training, editorial review, or a related field; - Expertise in content moderation policy, operational guideline development, and enforcement workflows. - Strong command of English with exceptional attention to detail, clarity, and linguistic consistency, and excellent written communication skills with emphasis on precision, clarity, and operational feasibility. - Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows, and experience evaluating qualitative content and using data to inform process improvements. - Ability to design and deliver interactive, engaging training materials and sessions.

Preferred Qualifications - High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines 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. - Knowledge of scenario coverage, positive/negative balance, and dataset validation. - Prior experience in content moderation, AI, or technical writing teams is a plus.