AI Data Annotation Jobs in Kenya

Every AI model learns from data a human prepared — boxes drawn around objects, text tagged by meaning, audio transcribed, answers ranked for quality. Doing that work accurately, at scale, is data annotation, and it's the most common way people in Kenya break into the field.

You don't need a degree or a portfolio — a short qualification test decides whether you're in, then you pick up tasks from a queue on your own schedule. The full range of online AI data jobs we track sits on one board, refreshed as new roles open.

Kenya isn't new to AI data work. Nairobi has been a go-to location for global labelling operations for years, which means the skills, the reputation, and the community are already here. For an individual, that translates into a real head start.

Strong written English puts you in the main evaluation and annotation queues, and Swahili or another local language adds extra localisation work on top. If you're starting from scratch, straightforward data annotation work is the gentlest on-ramp — you build a track record on simple tasks, then move up into better-paid review.

The work pays in US dollars. Simple tasks run about $6 to $15 an hour, skilled work $15 to $35, and expert or domain review $35 to $80 an hour or more. Some tasks are hourly, many are per-piece, so your real rate depends on how fast and how accurately you work.

Converted to shillings, even entry dollar rates compare well with local online work, and steady skilled work can become a genuine income. Every listing above shows a plain pay figure, so you can weigh a role before investing time in its test.

Kenya's online-work scene has its share of fake “task” jobs — easy pay for liking videos or simple typing, a tiny first payout to build trust, then pressure to deposit via M-Pesa to “unlock” bigger earnings that never arrive.

The rule that beats them all: real work pays you, it never asks you to pay first. Don't send an M-Pesa deposit to start a job, never share your PIN or an OTP, and treat any role that lives entirely in a WhatsApp or Telegram group with suspicion. Every platform we list is checked against real payout reports first.