AI Learning Specialist

Organization
International Rescue Committee
Location
New York, NY HQ USA London, UK Nairobi, IHUB, Kenya
Job Type
Full-time
How to Apply
Follow the link
Where to Apply
https://theirc.wd1.myworkdayjobs.com/External_Careers/job/New-York-NY-HQ-USA/AI-Learning-Specialist_JR00003553
Tags
Full-time

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

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

Learning Analytics & Continuous Improvement

  • Track learning metrics including participation rates, completion rates, skill assessments, and learner satisfaction
  • Analyze learning data to identify trends, measure impact, and demonstrate ROI of AI capacity building efforts
  • Improve learning programs based on data insights and user feedback
  • Document best practices and lessons learned for organizational knowledge management

Key Working Relationships:

Position Reports to: Director, Global Learning & Development
Position directly supervises: N/A

Requirements:

  • Minimum 4-6 years of experience in learning and development, instructional design, or training delivery
  • Advanced 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
  • Demonstrated experience designing and executing upskilling programs across a range of mediums, including eLearning courses and digital learning content
  • Experience working in international development, humanitarian, or nonprofit sectors strongly preferred
  • Experience creating multilingual or cross-cultural learning programs a plus
  • Strong proficiency with eLearning authoring tools (e.g., Articulate 360)
  • Familiarity with Learning Management Systems (LMS) and learning analytics platforms
  • Strong understanding of change management principles and experience implementing/supporting change
  • Proficiency with Microsoft 365, Google Workspace, and collaboration tools
  • Experienced in innovative approaches to learning design that engages and motivates adult learners
  • Fluency in English required. Professional proficiency in French, Spanish, or Arabic preferred

Compensation: (U.S. Pay Rate: 80,000 – 90,000 USD); (UK Pay Rate: 50,000 – 60,000 GBP). Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.