Job Overview:<\/p>\n
The AI Learning Specialist will play a critical role in building the IRC\u2019s 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.<\/p>\n
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.<\/p>\n
Major Responsibilities:<\/p>\n
Learning Program Design & Development<\/p>\n
\tEstablish the foundational baseline, by designing a concise, high-impact foundational AI literacy experience accessible to all staff
\n\tBuild 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\u00a0real work\u00a0situations
\n\tSource, 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
\n\tDevelop scenario-based learning activities that reflect real humanitarian work contexts and challenges
\n\tEnsure all learning materials adhere to adult learning principles,\u00a0are\u00a0optimized\u00a0for\u00a0low-bandwidth environments where applicable, and are available in core IRC languages where needed\u00a0
\n\tIntegrate principles of responsible AI use, data protection, and ethical considerations into all learning materials
\n\tPromote awareness of AI risks, limitations, and\u00a0appropriate use\u00a0cases in humanitarian contexts\u00a0<\/p>\n
Upskilling Delivery & Facilitation<\/p>\n
\tFacilitate live virtual hands-on training sessions with generative AI tools and applications for real-time demonstration, experimentation, and feedback
\n\tProvide coaching and support to staff at various skill levels, from AI beginners to advanced users
\n\tDevelop and deliver specialized training for specific use cases and staff types\/profiles<\/p>\n
Stakeholder Collaboration & Needs Assessment<\/p>\n
\tPartner closely with the AI Staff and Culture Task Force and other AI working groups to align learning initiatives with organizational AI strategy
\n\tGather feedback from learners and conduct regular needs assessments with staff across regions and departments to identify learning gaps, determine effectiveness, and establish priorities
\n\tCollaborate 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
\n\tEquip a cohort of \u201clearner-teachers\u201d across departments and managers with contextual AI\u00a0skills,\u00a0habits\u00a0and\u00a0language\u00a0\u00a0<\/p>\n
Learning Analytics & Continuous Improvement<\/p>\n
\tTrack learning metrics including participation rates, completion rates, skill assessments, and learner satisfaction
\n\tAnalyze learning data to identify trends, measure impact, and demonstrate ROI of AI capacity building efforts
\n\tImprove learning programs based on data insights and user feedback
\n\tDocument best practices and lessons learned for organizational knowledge management<\/p>\n
Key Working Relationships:<\/p>\n
Position Reports to:\u00a0 Director, Global Learning & Development
\nPosition directly supervises:\u00a0 N\/A<\/p>\n
Requirements:<\/p>\n
\tMinimum 4-6 years of experience in learning and development, instructional design, or training delivery
\n\tAdvanced knowledge and use of generative AI applications (e.g., ChatGPT, Claude, Gemini, Microsoft Copilot) including prompt engineering, AI-assisted content creation, AI workflow integration, and AI capabilities and limitations
\n\tDemonstrated experience designing and executing upskilling programs across a range of mediums, including eLearning courses and digital learning content
\n\tExperience working in international development, humanitarian, or nonprofit sectors strongly preferred
\n\tExperience creating multilingual or cross-cultural learning programs a plus
\n\tStrong proficiency with eLearning authoring tools (e.g., Articulate 360)
\n\tFamiliarity with Learning Management Systems (LMS) and learning analytics platforms
\n\tStrong understanding of change management principles and experience\u00a0implementing\/supporting\u00a0change
\n\tProficiency with Microsoft 365, Google Workspace, and collaboration tools
\n\tExperienced in innovative approaches to learning design that engages and motivates adult learners
\n\tFluency in English required. Professional proficiency in French, Spanish, or Arabic preferred<\/p>\n
Apply Through:<\/p>\n
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