Every large model in production today was shaped, quietly, by thousands of human judgment calls: was this answer helpful, was this label correct, was this response safe to ship. That work is called data annotation and evaluation, and it is currently the largest, fastest-growing entry point into paid AI work anywhere in the world — including for a sixteen-year-old in Ibadan with a phone and a stable connection.
It does not require a computer science degree. It requires the same skill we start building in Primary school: the ability to look at something confidently stated and ask, precisely, what would make this wrong.
Our SSS3 cohorts now ship real, paid evaluation work as part of their final-year portfolio, supervised and quality-checked, before they ever sit a university entrance exam. For many, it is the first time they have been paid for their judgment rather than their memory.
This is the on-ramp we are building the entire curriculum around: not “learn to code” as an end in itself, but “learn to judge” as the durable, exportable skill underneath every layer of the AI economy.