Review pre-release AI model output in

Kannada

and judge it on accuracy, naturalness, appropriateness, and overall quality - would a native speaker really say it this way? This includes fact-checking each response against the source material.

Test the

Kannada

experience against the English one: confirm feature parity, complete a full user journey using non-English input, and check the product handles non-Latin script, diacritics, right-to-left text, and mixed-language input correctly.

Spot any display problem (text cut off, overflowing, or rendering badly) and any localization error - a wrong date, number, currency, unit, or a string left untranslated.

Write up each issue clearly so a developer can reproduce it: the step taken, the device and operating system, the locale, the build ID, and supporting evidence. Re-test once a fix lands to confirm it's resolved.

Share your perspective as a native-level speaker on navigation, usability, and the language-specific nuance only a fluent speaker would catch.

Work on-site in a private,



secure area of the Welocalize office. Because of the confidential, pre-release nature of the technology, a remote or work-from-home arrangement isn't possible for this programme.

Support other linguistic projects as needed.

Native-level or fully bilingual

Kannada

, written and spoken, with a current feel for how the language is really used day-to-day - every day and technical.

Confidence with a smartphone and a laptop, and comfort moving between iOS and Android.

A sharp eye for detail and fair, objective judgement when assessing quality.

The ability to work independently, follow a detailed test script and guideline, and explain an issue clearly in English.

Previous experience in software or app testing, localization QA, or linguistic evaluation is a strong plus - though not essential if you bring the language skill and the attention to detail.

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📌 Kannada Linguistic Evaluator & Functional Tester (Barcelona)
🏢 Welocalize
📍 Barcelona