Teach at the frontier.
Frontier tech moves in months. If you build in it, come teach the next generation to build too — in-house or part-time.
Three reasons this isn't like other teaching work
Frontier-tech teaching is normally ad hoc — a workshop by whoever was free, at whatever depth they felt like. Ours is the opposite, and that changes what the job actually is.
Practitioner pay, and practitioner respect
Teaching here is a builder's craft, not a fallback for people who couldn't get an industry job. We hire people who build the thing they teach, we pay against a published internal band by level and stream, and we expect you to keep building — an instructor who stops practising stops teaching that stream.
The module is already built
You are not asked to invent a syllabus, write slides, or design an assessment the night before. The curriculum engine ships a standardized L0–L3 module — labs, projects, assessments, kit list — and keeps it current. You bring the practitioner judgement that makes it land: the war stories, the debugging instinct, the reason industry does it this way.
Real hands-on delivery, not slideware
The majority of every session is learners building, with concept taught inside the build at the moment they need it. No recorded courses, no whiteboard-only lectures, no reading slides to a room. If that's not the kind of teaching you want to do, this will be the wrong fit — and we'd rather you knew now.
Six gates, and the bar at every one
We publish the bar rather than hiding it behind a form. Only certified trainers deliver — that single rule is what lets a standardized module run to the same standard in our centre and on a partner campus three cities away.
Apply
Tell us your stream, your experience, your city, and where your work lives — portfolio, GitHub or LinkedIn.
Screen
A portfolio review, then a short teach-back: twenty minutes on a topic you choose, to a couple of us. We're watching how you explain, not what you know.
Train-the-trainer
Onboarding onto the standardized module and the “teach at the workbench” method — plus full safety training if you're taking a hardware stream.
Certify
You deliver a sample session to standard. Hardware streams also carry a safety certification before you go near a lab with learners in it.
Deploy
You take cohorts, either in-house on salary with a kept-full calendar, or part-time alongside your own work, flexing new geographies and peak periods.
QA & retain
Cohort observation, learner outcomes and NPS, and re-certification when your module ships a new edition.
Screening to certification typically takes about two weeks, depending on your availability for the teach-back and the training. If there's no fit at any gate we write back and tell you which one and why — you won't be left wondering.
In-house or part-time. Both are real.
Salaried trainers are more economical when their calendar is kept full; part-time practitioners absorb variability and new-launch peaks. Both certify to identical standard — the standardized module is exactly what makes that safe.
In-house
A full teaching load across cohorts, kept utilized by our delivery ops. Salaried, with the curriculum, labs and kit logistics handled around you. This is the track if teaching is what you want to do most weeks.
- Full-time, salaried
- A calendar we keep full
- First call on new editions and new streams
Part-time
One cohort at a time, on weekends or weekday evenings, alongside the work you already do. Certified to exactly the same standard as in-house trainers — the standardized module is precisely what makes that safe.
- One cohort at a time
- Weekends or weekday evenings
- Same certification, same standard
Every stream, the same four levels
Every stream runs the same ladder, so “L2” means the same depth in robotics as in deep learning. You might take one level in one stream, or lead a stream end to end.
On the roadmap and not yet live: Blockchain Cybersecurity Quantum — if that's your field, tell us anyway.
The free taster. High energy, total beginners, one working thing by the end.
The real basics and a first build that works.
Applied depth and a project a learner can show someone.
Portfolio-grade command, ending in a capstone with a live demo.
Our centres
L2 Practitioner and L3 Mastery run on our premises, because they need a real lab.
Partner campuses
L0 Discover and L1 Foundation also run at partner schools and colleges — we bring the equipment, you bring the session.
Corporate training
Gen AI Mastery delivered as custom training for teams, at any of its levels. Usually short, usually well paid.
The bar, stated plainly
We'd rather tell you now than waste your evening on an application.
- You are currently building in the field — employed, freelancing, or shipping your own work.
- You can teach the thing you build at the workbench, to someone who has never seen it.
- You can make a 14-year-old or a college student do rather than watch.
- You're willing to be certified on our module before taking a cohort alone — subject expertise is the entry ticket, not the qualification.
- You can commit to a whole cohort. Levels are fixed-length, and a mid-cohort exit is the one thing that genuinely hurts learners.
What we don't require: a teaching qualification, a PhD, or prior classroom experience. We train and certify you on the module — the thing we cannot train is having built the thing.
Apply to teach
This is the first gate. Everything except your name, email and stream is optional — a link to your work is worth more to us than a polished CV.
Gates 02 and 03
A person reads every application. If there's a fit you'll hear from us within a week — usually to arrange the portfolio review and a twenty-minute teach-back on a topic you pick. If there isn't, we'll still write back and say so.
Published bands
Trainer pay follows an internal band by level and stream. We'll tell you the band for your streams in the first conversation rather than asking what you currently earn — the same principle as our course pricing: a published rule, applied the same way to everyone.
Send it directly
Use the enquiry form with the streams you could teach and a link to your work. Same reader as the application above.
Not teaching? See open roles →
Teach the frontier you work on.
One cohort or a full load, weekends or weekday evenings, in the field you're already building in.