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

uce 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 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.