Selected client delivery
This is a curated delivery path for experienced trainers and presenters, not an open job board or generic hiring funnel.
Delivery partnerships
We work with qualified independent trainers and presenters on paid client engagements as demand increases across regions, languages, and enterprise teams.
Enterprise AI programs
Work with professional teams adopting AI coding tools in practical, production-adjacent environments.
Prepared workshop material
Use proven workshop formats, exercises, and onboarding support instead of building every session from scratch.
Competitive hourly compensation
Qualified client delivery is paid at a competitive hourly rate, with approved travel, accommodation, and delivery expenses covered.
Who fits
We are looking for practical people: engineers who can teach, educators with technical credibility, and presenters who can support local-language or executive delivery without turning the workshop into theory.
You can teach in English and ideally another professional delivery language.
You have hands-on experience with Cursor, Codex, and Claude Code, Copilot, or similar AI coding tools.
You can explain technical concepts clearly to engineers, leaders, or mixed business groups.
You can show enough written evidence for us to decide whether a follow-up interview is worth scheduling.
Process
The process is intentionally lightweight: submit the written details first, and then we follow up where there is a suitable client-delivery fit.
Ready to share your profile? Start the trainer application.
1
Submit your profile
Click Apply now below and tell us your location, languages, tools, sectors, availability, rate, travel fit, and public profiles.
2
Manual shortlist
We review the written applications first and shortlist the strongest fits before asking for extra material.
3
Interview for fit
When there is a fit, we interview you and may request a short teaching video before client delivery.
Apply to deliver workshops
Submit your written profile first. We review applications manually and follow up where there is a fit.