Technical AI Instructor

Role Overview

• Deliver high-quality, engaging workshops and training sessions for corporate learners on OpenAI Codex, frontier models, AI-assisted software development, prompt engineering, and agentic workflows.
• Teach learners how to use Codex across practical workflows, including reading and understanding codebases, generating and editing code, debugging, writing tests, reviewing pull requests, working through IDE or CLI-based workflows, and delegating coding tasks to cloud agents.
• Introduce learners to OpenAI’s frontier model ecosystem, including the Responses API, reasoning models, multimodal capabilities, tool use, function calling, file search, web search, structured outputs, and agent-based application patterns.
• Lead training sessions with confidence for mixed audiences, including software engineers, business users, product managers, operations teams, and senior leaders.
• Adapt training examples, exercises, case studies, and demos to suit each client’s industry, technical maturity, business objectives, and internal workflows.
• Build and deliver live demonstrations showing how AI tools can support real work, such as code review, bug fixing, technical documentation, data analysis, workflow automation, knowledge retrieval, and AI-assisted product development.
• Work with Skills Union and client stakeholders to understand training needs, learner profiles, adoption barriers, and desired business outcomes before and during delivery.
• Guide learners through hands-on activities, troubleshoot common setup or workflow issues, and help participants build confidence using AI tools responsibly and effectively.
• Evaluate learner progress through exercises, projects, reflections, and feedback. Provide clear recommendations for continued adoption after training.
• Teach practical considerations around data privacy, security, intellectual property, human review, hallucination risk, model limitations, and responsible enterprise deployment.
• Stay current with OpenAI product updates, Codex capabilities, frontier model releases, and AI adoption practices.

Requirements

• Minimum 3–5 years of experience in software development, technical training, developer advocacy, AI implementation, digital transformation, or related technology consulting roles.
• Strong hands-on familiarity with modern software development workflows, including Git/GitHub, IDEs, command-line tools, debugging, testing, code review, and basic deployment concepts.
• Practical understanding of large language models, prompt engineering, model selection, APIs, structured outputs, tool use, retrieval workflows, and agentic AI concepts.
• Ability to teach how Codex can support software engineering tasks such as code generation, refactoring, test creation, bug fixing, codebase exploration, pull request review, and long-running delegated tasks.
• Working knowledge of at least one major programming language such as Python or JavaScript/TypeScript.
• Strong ability to communicate technical ideas to both technical and non-technical audiences.
• Proven ability to teach, coach, mentor, or facilitate adult learners.
• Business Acumen: Able to connect AI capabilities to business outcomes such as productivity, faster software delivery, improved internal operations, better knowledge management, and higher-quality decision-making.
• Comfort with fast-changing AI products and evolving course content.

Tech Stack

• Cloud
• JavaScript
• Python
• TypeScript

Benefits

• Professional development