AI Workplace Skills Trainer

🏒 MENA Alliances · all MENA Alliances jobs
πŸ“ United States
πŸ“… Posted 2026-08-20 Β· via Himalayas
🏷 AI-Trainer,Corporate-Trainer,Technical-Trainer,Learning-and-Development,Instructional-Design,AI-Training-And-Development,AI-Training-Specialist,AI-Training,AI-Training-and-Enablement,AI-Training-Development,AI-Upskilling
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This is a remote position.

MENA Alliances is seeking experienced AI workplace skills trainers to deliver practical, high-impact training programs for a leading multinational corporation's Graduate Development Program in the MENA region. You will equip early-career professionals across Marketing, Supply Chain, Finance, HR, and Operations with the AI capabilities they need to excel in their roles from day one.

This is not theoretical AI training; you'll be teaching graduates how to use AI tools (ChatGPT, Claude, Microsoft Copilot, Notion AI, Notebook LLM) to improve their daily work: writing better emails, analyzing data faster, creating compelling presentations, and building efficient workflows.

Program Delivery
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Facilitate interactive training sessions for cohorts of 20-30 graduates in bootcamp (2-day) and modular (4-week) formats

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Deliver content bilingually in English and Arabic, adapting seamlessly based on participant needs

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Lead function-specific breakout sessions tailored to Marketing, Supply Chain, Finance, HR, and Operations roles

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Conduct hands-on exercises using real NestlΓ© scenarios, FMCG datasets, and regional business contexts

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Facilitate capstone projects where graduates redesign workflows and present measurable improvements

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Provide asynchronous support during program delivery periods via Q&A channels

Content Customization
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Adapt curriculum to the client's specific workflows, tools, brands, and AI policies during planning phases

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Create MENA-relevant examples that reflect regional market dynamics, cultural contexts, and business challenges

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Develop bilingual resources, including prompt libraries, templates, and functional playbooks

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Refine content iteratively based on real-time participant feedback and engagement

AI Champions Development
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Train high-potential graduates to become internal AI advocates and peer trainers

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Coach Champions on facilitation skills, resource creation, and community-building

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Support Champions during co-delivery of training sessions

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Facilitate communities of practice across MENA markets

Impact Measurement
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Conduct pre/post assessments to measure knowledge gains and confidence improvements

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Collect participant feedback and manager observations systematically

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Document AI workflows created and time savings achieved by graduates

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Contribute to impact reports with qualitative insights and success stories

Participate in evaluation workshops with client stakeholders
Requirements

Essential Experience
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3+ years facilitating digital skills, workplace productivity, or technology adoption training

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Demonstrated expertise using AI tools (ChatGPT, Claude, Microsoft Copilot, Notion AI) for professional work

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Experience training early-career professionals, graduates, or entry-level talent

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Proven track record delivering interactive, applied learning programs (not lecture-based)

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Experience working across MENA region with understanding of cultural nuances and business contexts

Technical Skills
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Advanced proficiency in Microsoft 365 suite, particularly Copilot integration (Word, Excel, PowerPoint, Outlook, Teams)

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Hands-on experience with multiple AI tools: ChatGPT, Claude, Notion AI, Notebook LLM

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Practical knowledge of prompt engineering, workflow design, and AI-enhanced productivity techniques

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Basic understanding of data privacy, responsible AI practices, and enterprise AI governance

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Functional business knowledge in at least 2 of: Marketing, Supply Chain, Finance, HR, Operations

Language & Cultural Competency
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Native or near-native fluency in both English and Arabic (written and spoken)

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Cultural intelligence to navigate MENA workplace dynamics, hierarchy, and communication styles

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Ability to create psychologically safe learning environments for diverse, multi-national cohorts

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Sensitivity to regional variations across Gulf, Levant, and North African ma

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