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.

• 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; 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.

• Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.

• Analytical thinker with experience evaluating qualitative content and using data to inform process improvements. Ability to design and deliver interactive, engaging training materials and sessions.

• High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.

• Excellent written communication skills with emphasis on precision, clarity, and operational feasibility.

Preferred

Qualifications

• Prior experience in content moderation, AI, or technical writing teams is a plus.

• 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.