AI Learning Associate

Purpose of the Role Digital technologies, and Artificial Intelligence (AI) in particular, are rapidly transforming the ICRC’s operations and the way we work. Keeping pace with this change requires our staff to build new skills. Through this 12-month traineeship, the AI Learning Associate supports the ICRC’s plans to upskill its workforce in AI. Main Duties & Responsibilities Contribute to the design, testing and organization of AI learning activities for all staff, such as webinars, e-learning modules, workshops and reverse mentoring. Curate publicly available learning resources to keep the digital skills learning channel up to date. Support the moderation of the AI community and maintain other knowledge management systems. Work with delegations to support their local learning plans. Contribute to the design and testing of personalized learning recommendation mechanisms based on user profiles, skills, competencies and learning pathways. Analyze user needs, learning pathways and usage patterns to support the development of AI-assisted learning experiences. Collaborate with Learning & Development, Information Technology and other stakeholders to prototype, document, test and improve AI-supported learning solutions. Additional Duties Follow up on work-related messages and correspondence. Understand field and operational objectives and key developments in the ICRC’s strategy. Understand the International Red Cross and Red Crescent Movement. Represent the ICRC professionally in all activities, meetings and communications. Actively seek opportunities to grow your skills and knowledge.

Education & Experience Required University degree in Learning Technologies, Information Management, Data Science, Computer Science or a related field. Up to 2 years of professional experience. Excellent command of English and French; Spanish is an asset. Experience with advanced use of AI tools and prompt engineering, including using AI to support learning activities. Familiarity with Python or a similar programming language. Experience with Power BI, version control (Git) and integrating AI models into applications through APIs is an asset.