Content Quality and Evaluation Specialist - AI Data Service Operations

Responsibilities

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.

Qualifications

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.