Trust & Safety

Monitoring and investigating content and behavior that violates terms of service

Detecting, investigating, and disrupting malicious use of AI platforms

Developing abuse signals and tracking strategies to proactively detect harmful activities

Providing data labeling, annotations, and inputs for safety protocols

Designing and implementing enforcement workflows and review processes

Analyzing large datasets to identify patterns and coordinated networks

Building and scaling detection systems for fraud and abuse

Processing appeals and auditing automated systems

Responding to urgent escalations and participating in on-call rotations

Conducting threat intelligence analysis and threat actor investigations

Conducting root cause analyses and deep-dive investigations

Creating monitoring dashboards, alerts, and internal administrative interfaces

Leading safety assessments and threat modeling for new products

Managing vendor relationships and third-party content moderation services

Training and refining large language models for safety and policy enforcement

Building multi-layered defenses and real-time safety mechanisms for AI systems

Conducting safety evaluations and assessments of AI models

Developing AI-specific detection capabilities and behavioral clustering techniques

Creating automated enforcement systems that scale with AI platform growth

Collaborating across cross-functional teams including engineering, policy, and legal

Communicating complex technical concepts to non-technical stakeholders

Leading and mentoring teams of safety operations analysts