Technical Training Instructor (AI)

Andela; United States; Hybrid; USD 110,000 - 170,000; Full time

Job summary

Andela in the United States is seeking a Technical Training Instructor (AI) to lead practical learning experiences for mid-level and senior engineers, helping them apply AI coding tools to real-world delivery.

You will combine hands-on engineering depth with clear explanation and coaching in a live, remote teaching environment, with occasional onsite workshops in the US.

Qualifications

• 5+ years of hands-on technical experience with strong depth in Fullstack development, Backend development, DevOps or Cloud engineering.
• Practical experience with AI-assisted coding tools and agentic engineering workflows, such as Claude Code, GitHub Copilot, Cursor or related tools.
• Demonstrated ability to apply engineering judgement when debugging, reviewing code, testing changes and evaluating AI-generated output.
• Experience teaching, training, coaching or mentoring others through workshops, talks, courses or mentoring.
• Strong communication skills with ability to present technical work to clients and stakeholders.
• Availability for remote delivery and occasional onsite sessions in the United States, with strong English for teaching and collaboration.

Responsibilities

• Facilitate interactive workshops, technical demonstrations, hands-on exercises and project clinics for engineering teams adopting AI-assisted development.
• Guide learners through environment setup, prompting, context management and agentic workflows using Claude Code and related tools.
• Deliver practical learning on topics such as sub-agent delegation, multi-agent orchestration and MCP integrations.
• Coach engineers as they debug existing codebases and review AI-generated output.
• Adapt materials and explanations to the audience and respond to live questions.

Skills

Fullstack development

Backend development

DevOps

Cloud engineering

Tools

Claude Code

GitHub Copilot

Cursor

Job description

At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected customers with top global, remote technical talent from over 135 countries, the majority residing in emerging markets across Africa and Latin America. As one of the world's largest talent marketplaces, Andela gives companies the flexibility to deploy qualified technologists fast, across Application Development, AI, Cloud & DevOps, and Data Engineering. Andela Talent Cloud (ATC) is our platform for managing the complete global talent lifecycle.

About The Role

Andela’s Learning & Assessment Solutions help customers assess, train and upskill their technical teams. We are building a faculty of experienced technical instructors to help engineers apply AI coding tools and agentic engineering practices to real-world delivery.

As a Technical Training Instructor (AI), you will lead practical learning experiences for mid-level and senior engineers, helping them progress from foundational AI tool usage to more advanced workflows with Claude Code and related tools. You will combine hands-on engineering depth with the ability to explain clearly, coach others and respond to technical questions in a live learning environment.

We welcome applicants with a strong background in Fullstack, Backend, DevOps or Cloud engineering. Depth in any one of these areas is sufficient; candidates are not expected to cover all four.

We welcome candidates based anywhere in the United States for remote delivery in English, with occasional onsite workshops in the US. Travel costs for agreed onsite delivery will be covered. Engagements are occasional paid assignments, with programme duration, hours and dates agreed according to customer needs. Joining the instructor faculty does not guarantee an allocation of hours or a paid bench retainer.

Key Responsibilities

• Facilitate interactive workshops, technical demonstrations, hands-on exercises and project clinics for engineering teams adopting AI-assisted development.
• Guide learners through environment setup, prompting, context management and agentic workflows using Claude Code and related engineering tools.
• Deliver practical learning on topics such as sub-agent delegation, multi-agent orchestration, Model Context Protocol (MCP) integrations, pull request preparation, automated testing and code verification, according to the programme.
• Coach engineers as they debug existing codebases, review AI-generated output, improve maintainability and apply new approaches to real engineering problems.
• Adapt learning materials and explanations to the audience, answer live questions and help learners understand technical trade-offs and implementation decisions.
• Support baseline and exit assessments, monitor learner progress and help teams translate learning into effective engineering practices.
• Help colleagues and clients communicate technical work, project outcomes and verification methods to peers and stakeholders.

Qualifications

• 5+ years of hands-on technical experience, with strong depth in Fullstack development, Backend development, DevOps or Cloud engineering.
• Practical experience with AI-assisted coding tools and agentic engineering workflows, such as Claude Code, GitHub Copilot, Cursor or related tools. Experience across multiple tools is valuable.
• Demonstrated ability to apply engineering judgement when debugging, reviewing code, testing changes and evaluating AI-generated output.
• Experience teaching, training, coaching or mentoring others. This may include workshops, technical talks, courses, published educational content, pair programming, code reviews or helping teams adopt new technologies.
• Strong communication skills and experience presenting technical work, architecture or solutions to clients, leadership or cross-functional stakeholders.
• Evidence of live facilitation and handling questions, developing a structured training series, or explaining technical topics to audiences with different levels of experience.
• Availability for remote delivery and occasional onsite technical sessions in the United States, with strong English communication for teaching, programme materials and collaboration.

Formal instructor experience is welcome, and demonstrated informal technical coaching also counts. This opportunity may suit technical instructors, developer advocates, solutions architects, technical consultants, engineering leads or hands‑on engineers who regularly help others learn.

Assessment Process

The selection process includes CV review and initial screening, a technical assessment relevant to your engineering background, and a teaching demonstration. For the demonstration, you will deliver a 7–10-minute mini-session on a topic provided in advance, with questions from a panel acting as an enterprise engineering audience.