Copilot Trainer

TEKsystems•Washington, DC

3d•$60 - $65•Hybrid

About The Position

Copilot Trainer - AI Upskilling plays a central role in strengthening Fund‑wide AI literacy and capability by designing, delivering, and scaling Fund’s AI learning programs. As part of the Digital Adoption & Change Management Unit of the Information Technology Department (ITDAI DC), the role leads the development of tailored learning pathways, practical training experiences, and hands‑on enablement.

Requirements

Advanced university degree in Learning & Development, Education Technology, Computer Science, Information Systems or related field of study or equivalent, plus a minimum of 5 years of relevant professional experience.
Copilot, Copilot Studio, Cowork and other Copilot skills in office apps (Word, Excel, PowerPoint, Teams, Web) is a MUST to have.
Strong understanding of AI concepts, GenAI capabilities, prompt engineering, and the implications of AI for workflows, governance, and change management.
Experience delivering technology learning programs, digital upskilling curricula, or AI training at scale.
Familiarity with AI learning platforms, instructional design principles, and hands‑on learning methodologies.
Exceptional communication, facilitation, and storytelling skills for high‑level and technical audiences.
Experience leading workshops, events, and high-engagement learning activities.

Nice To Haves

Learning Designer
Expert Level

Responsibilities

Translate organizational priorities into practical, Fund relevant learning paths covering AI Foundations, GenAI tools, AI agents, responsible AI, prompt engineering, and advanced practitioner skills.
Support a structured, role based AI learning framework aligned with the Fund’s persona based learning levels and evolving institutional needs.
Design and deliver high‑quality AI learning sessions, hands-on labs, role‑based workshops, and practical scenario exercises supporting responsible, safe, and effective AI use across departments.
Lead delivery of flagship programs such as: AI Foundation Learning, AI Peer Learning, Applied AI training for teams adopting specific solutions (Copilot, Agentic workflows etc.).
Act as the primary facilitator for in-person and virtual AI training.
Develop practical learning assets, including playbooks, scenario sheets, prompt libraries, micro-learning modules, demos, and hands-on exercises.
Update content continuously to reflect the fast-evolving AI landscape and new Fund approved tools.
Ensure all training materials integrate responsible AI practices, Fund safeguards, and data protection requirements.