Content Risk Evaluation Team Lead (Mandarin Speaking) - Safety Model Operations - Kuala Lumpur
ExternalFull-timeOn-site1mo ago30+ days old, may be filled
ComplianceData AnalysisMachine LearningRisk ManagementSAFe
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Responsibilities
- The SMO Delivery Team plays a critical role in the organization. Its primary responsibility is to carry out the full spectrum of quality assurance activities for each project. This includes:
- Conducting detailed reviews and complex RCA's to ensure labeling accuracy and consistency
- Monitoring quality performance and compliance against project-specific KPIs
- Identifying trends, risks, and potential gaps in processes or guidelines
- Providing structured feedback and improvement recommendations to the Central Project Team
- Supporting continual optimization of workflows, tools, and evaluation methodologies
- Improve Model performance of AI models
- What will I do?
- Lead & Develop the Risk Team: Manage, mentor, and provide strategic direction to a team of Content Risk Evaluation Specialists, ensuring excellence in risk identification and mitigation.
- Translate Policy into Guidelines: Interpret regulations and platform policies into actionable guidelines, and oversee a case database to ensure consistent judgments across scenarios.
- Monitor & Characterize Content Risks: Monitor UGC and PGC ecosystems to proactively identify explicit, implicit, and borderline content risks, and extract risk characteristics.
- Manage Emergent Risk Events: Lead rapid response to content safety emergencies, define issues, prioritize actions, and drive cross-functional resolution and process optimization.
- Produce Risk Assessment Reports: Generate data-driven risk assessment reports to support platform rule optimization and review strategy decisions.
- Drive Cross-Functional Risk Prevention: Collaborate with operations, safety product, and other teams to implement risk prevention strategies using content review and data analysis tools.
- Ensure Model & Policy Consistency: Partner with algorithm and data science teams to establish a continuous "judgment-data-model" feedback loop, develop evaluation standards, and help models handle edge cases.
Requirements
- Bachelor's degree or higher (Law, Journalism, or related fields preferred), with a strong sense of ownership and the ability to establish order amid uncertainty.
- 2 years of team management experience, with the ability to give clear, directional guidance and develop talent in a fast-paced risk environment.
- A strong background in content safety, policy development, or risk management, with the ability to make authoritative and credible judgments in highly ambiguous and complex scenarios.
- Strong abstraction skills, capable of translating case-specific insights into systematic strategic frameworks and delivering high-quality data products that drive the AI Data Foundation.
- Strong language ability in both written and spoken English along with effective communications.
- Mandarin proficiency is required, as it is mandatory for daily liaison with the China team in the China market and the accurate communication of business information along with seamless collaboration with global teams and product/R&D teams.
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Company Intel
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