Most AI data work in Kenya arrives through platforms and vendors rather than employers. The process is usually the same: apply, sit an unpaid qualification test, get assigned a small batch, and keep work if your quality holds above a threshold.
The qualification test is where applications die, and it dies for predictable reasons. People rush. They skim a guideline, label from intuition, and fail a handful of edge cases the test was built to catch. The test is not looking for speed; it is looking for whether you read carefully and apply a rule that is not your instinct.
Practical preparation that actually helps: work through example tasks slowly, write your reasoning for each one in a sentence, and compare that sentence against the guideline before submitting. If you cannot state the rule you applied, you guessed.
Payment matters too. Know in advance whether a platform pays hourly or per task, what the minimum payout is, and how long it takes. Ask in the community before investing a week, and be wary of anyone charging a fee to give you work — legitimate vendors do not.
Finally, keep a record. Every completed batch, every quality score, every certificate. When a better-paying queue opens, the people who get moved up are the ones who can show a track record rather than a promise.