• Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). • Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. • Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.

• Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). • Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. • Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. • Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. • Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. • Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. • Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. • Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. • Produce executive-level updates summarizing progress, risks, blockers, and next steps. • Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. • Support escalation management and ensure timely resolution of technical or operational challenges.

Role Description The AI Instructor will support the School Outreach Coordinator in delivering the Institute's AI literacy program across schools and membership communities. This role is primarily focused on teaching AI concepts to students and members, ensuring that every session is engaging, accessible, and aligned with the Institute's curriculum. Key Responsibilities: - Deliver advanced AI literacy sessions to the AI-4AI community as part of the Institute’s membership programme. - Design and prepare curriculum for advanced AI literacy tailored to the needs of the AI-4AI community. - Monitor and track knowledge growth within the community based on delivered topics and learning outcomes. - Stay up to date with emerging AI trends, tools, and developments, demonstrating a strong capacity for continuous learning. - Maintain a solid grounding in advanced AI literacy concepts and their practical applications. - Support the delivery of AI literacy sessions to secondary school students during outreach visits, in alignment with the Institute’s approved curriculum. - Facilitate clear, engaging, and age-appropriate learning experiences for diverse student audiences. - Support the School Outreach Coordinator in the planning and execution of outreach activities. - Assist in the preparation of teaching materials, session guides, and handouts ahead of outreach engagements. - Maintain accurate attendance records and session notes and provide timely updates to the School Outreach Coordinator after each engagement. - Incorporate participant feedback to continuously improve the quality, relevance, and delivery of AI literacy sessions. - Contribute actively to the achievement of the Institute’s mission and vision. Qualifications - Bachelor's degree in Education, Computer Science, Artificial Intelligence, a STEM field, or a related discipline. - 1–3 years of experience in teaching, tutoring, or training facilitation. - Familiarity with AI concepts and tools relevant to beginner and intermediate audiences. - Strong communication and classroom facilitation skills. - Ability to work as part of a team and take direction from a coordinator. Core Competencies - AI Literacy & STEM Education - Facilitation & Classroom Engagement - Teamwork & Coordination - Clear & Accessible Communication - Adaptability & Learner-Centered Instruction - Reporting & Documentation Benefits - Opportunity to be at the forefront of AI education across African schools and communities. - Work with a dynamic, diverse, and mission-driven team committed to inclusive AI development. - Contribute directly to building AI literacy and opportunity for the next generation of African innovators.

• Produce social content across the content-driven platforms (YouTube and IG to start), with a clear understanding of what performs where and why. • Audit and reimagine social and communications workflows through the lens of GEO — ensuring content is structured, distributed, and formatted to be discovered and cited by AI-driven search and answer engines. • Build and manage a social content pipeline leveraging AI-native tools when appropriate: from ideation and scripting through production, editing, scheduling, and performance analysis. • Evaluate, pilot, and implement AI tooling across the full content lifecycle — not just for social, but across communications, content marketing, and editorial functions. • Build durable systems — playbooks, templates, governance frameworks, and training — so the team can produce at scale without the quality or consistency slipping. • Serve as the team's internal authority on the AI landscape: what's production-ready, what's coming, and what requires us to change how we work now.