AI Learning Specialist

The International Rescue Committee (IRC) responds to the world’s worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world’s largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you’re a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.

Job Overview:

The AI Learning Specialist will play a critical role in building the IRC’s organizational capacity to use AI tools effectively and responsibly across its global operations. Working closely with the Learning & Development Team and AI Task Forces, this role designs, develops, and delivers comprehensive learning solutions that enable staff to integrate AI confidently and ethically into their daily work. The specialist approaches learning holistically, collaborating with teams to understand existing processes and systems, identify performance gaps, and develop contextually appropriate solutions. Outputs will span workflow-embedded learning experiences, facilitated live sessions, and multilingual resources in formats including e-learning, microlearning, job aids, and guides, reaching technical staff, program teams, and leadership across field and office locations.

The ideal candidate brings deep knowledge of generative AI capabilities alongside strong instructional design expertise and a genuine commitment to capacity building in international development settings. They are comfortable working in rapidly evolving technology environments, can evaluate AI tools critically for organizational and ethical fit, and know how to translate complex AI concepts into practical, accessible learning experiences for diverse, globally distributed audiences.

Major Responsibilities:

Learning Program Design & Development

• Establish the foundational baseline, by designing a concise, high-impact foundational AI literacy experience accessible to all staff
• Build solutions that bring learning into the flow of work. Identify opportunities to embed gen AI into learning, enable staff to practice skills, explore role-specific use cases, coach and contextualize AI skills in real work situations

• Source, curate and create engaging, accessible learning experiences in multiple formats: facilitated live coaching and demonstration, self-paced eLearning courses, microlearning modules, video tutorials, job aids, quick reference guides, and interactive workshops

• Develop scenario-based learning activities that reflect real humanitarian work contexts and challenges

• Ensure all learning materials adhere to adult learning principles, are optimized for low-bandwidth environments where applicable, and are available in core IRC languages where needed

• Integrate principles of responsible AI use, data protection, and ethical considerations into all learning materials

• Promote awareness of AI risks, limitations, and appropriate use cases in humanitarian contexts

Upskilling Delivery & Facilitation

• Facilitate live virtual hands-on training sessions with generative AI tools and applications for real-time demonstration, experimentation, and feedback
• Provide coaching and support to staff at various skill levels, from AI beginners to advanced users
• Develop and deliver specialized training for specific use cases and staff types/profiles

Stakeholder Collaboration & Needs Assessment

• Partner closely with the AI Staff and Culture Task Force and other AI working groups to align learning initiatives with organizational AI strategy

• Gather feedback from learners and conduct regular needs assessments with staff across regions and departments to identify learning gaps, determine effectiveness, and establish priorities

• Collaborate with IT, Data, and other technical teams to stay current on AI tool implementations and changes, and where to integrate learning touchpoints into technology platforms

• Equip a cohort of “learner-teachers” across departments and managers with contextual AI skills, habits and language

**Learning Analytics & Continuous Impro…