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The Role Remote (South Africa) Supporting an International Company Monday – Friday, 05:00–13:00 SAST Full-Time R30,000–R40,000 per month (experience-dependent) Scale your AI expertise on an international stage and dri…
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About the role
Remote (South Africa)
Supporting an International Company
Monday – Friday, 05:00–13:00 SAST Full-Time
R30,000–R40,000 per month (experience-dependent)
Scale your AI expertise on an international stage and drive real-world automation remotely from South Africa.
You will support the end-to-end configuration and rollout of AI-powered agents, automations, and training programs across all business functions. Sitting at the intersection of technical AI execution, L&D, and change management, you will drive measurable adoption while stepping up to cover core leadership responsibilities during key leave periods.
AI & Automation Build: Design, configure, and maintain custom AI agents, low-code automations, and workflows within the approved tech stack (Google Gemini/Meet).
Training & Enablement: Plan and deliver structured, department-specific AI training sessions, supporting materials, and live troubleshooting to drive adoption.
Documentation & SOPs: Build, document, and maintain a centralized library of prompts, workflow SOPs, and development steps for cross-functional reuse.
Governance & Tool Evaluation: Partner with leadership to align AI tools with data privacy, compliance, and internal governance frameworks.
Interim Leadership Coverage: Fully cover the main responsibilities of the AI Implementation Manager during maternity leave.
Adoption Tracking & Continuous Improvement: Measure training effectiveness, track workflow time-savings, gather user feedback, and iterate on solutions.
Experience & Certifications: 2–5 years of experience across AI/automation implementation or L&D, backed by recognized AI/ML and Software Development certifications, plus a relevant degree (HR, L&D, Education, Org Psychology) or equivalent experience.
Core Technical/Specialized Skills: Hands-on experience with modern LLMs (ChatGPT, Claude, Gemini, Copilot), low-code automation tools, and software development/coding fundamentals.
Background & Domain Expertise: Strong L&D or instructional design background, comfortable facilitating live training for groups with varying technical fluency.
Technical Translation / Delivery: Proven ability to translate complex AI capabilities into practical, department-specific use cases and clear playbooks.
Working Style: Highly autonomous and self-directed program owner with a patient, supportive, and discreet approach to managing sensitive data and guiding change.
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