Testers try to break things before customers do. They plan checks, hunt for the odd cases nobody thought of, and report what they find clearly enough to get it fixed. As AI produces more software and more content, checking it all matters more, not less, and demand for careful sceptics keeps rising. You do not need a computer science degree; you need precision, patience and the confidence to say something is not right. Honestly, parts are repetitive, and you deliver unwelcome news often.
You begin by rerunning yesterday's failed tests to see whether the fixes hold. Then you take a new feature and try everything a rushed, confused or mischievous user might do to it. You write up what broke, clearly enough that a developer can reproduce it. You end by updating the test plan for tomorrow.
AI now writes tests and code alike, which means more software, produced faster, all needing scrutiny. Machines cover the routine checks; you design what to test, question the things that look fine but are not, and give the final sign off. The sceptical eye and the last word stay human.
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Data governance officer · AI assurance / compliance support