• Record audio/video tasks that help train next-generation AI systems. • Review requirements, then continue to partner onboarding. • Participate in audio/video recording tasks that may involve speaking, labeling, reviewing, or following on-screen instructions. • Support the development and training of next-generation AI systems by providing high-quality human data.

• Prepare and deliver online lectures and assignments on ML/AI. • Deliver live lectures or assignments at the specified times. • Perform code reviews with students and solve problems from the previous day. • Evaluate and grade students every 2 weeks with assignments.

• Review and refine AI-generated outputs related to identity governance, access provisioning, and authentication frameworks • Assess the accuracy and practicality of AI-driven recommendations on access management, role-based access control, and compliance • Develop real-world case studies and scenarios from your IAM experience • Create scenario variations covering identity lifecycle management, regulatory requirements, and risk mitigation • Identify and explain gaps or risks in AI recommendations, providing structured, actionable feedback • Influence how AI systems interpret IAM best practices and security standards

• Review and enhance AI-generated content related to competition law, regulatory review, and antitrust compliance • Assess the accuracy and practical relevance of AI suggestions on competition law evaluations, case analysis, and legal documents • Develop real-world scenarios and case studies leveraging your expertise in competition and antitrust law • Create scenario variances illustrating best practices, compliance protocols, and risk awareness within competition law • Identify gaps or risks in AI-created content and offer targeted, actionable feedback to support improvement • Guide AI systems to better comprehend and apply essential concepts from competition law