AI evaluator, AI trainer and FDE are complementary roles. At Huxpert, the focus is factual field verification of a result produced by an AI tool, application or robot.
A qualified domain expert checks factual AI output against the real site or object, identifies errors and omissions, proposes corrections and records evidence. The assessment concerns the AI result, not an employee’s proficiency.
Training may involve annotation, example preparation or comparison of responses. Huxpert’s documented corrections can inform a client’s improvement process; technical model training is outside our service.
An FDE helps clients build and integrate software solutions. Huxpert provides factual field findings that such teams can use; development and integration are separate services.
A convincing answer can still describe an object that is absent, omit a defect or assign a measurement to the wrong item. The domain expert identifies what can actually be checked, observes the real subject and supports each correction with evidence.
The Hu-score summarises the reliability of the inspected result. It is not a rating of workers, an assessment of software adoption or a measure of productivity.
The original AI output and its version are fixed, the expert checks the agreed facts on site or against the real object, then reports findings, severity, corrections and limits. The public method explains the benchmark and Hu-score.
Missions may fit alongside your current activity, according to the need, your qualifications, independence and availability. Applying does not guarantee selection, work volume or income.