Description
Welocalize is looking for a native-level English (from UK) speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device , a smartphone and a next-generation smart glass.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Main Responsibilities
- Review pre-release AI model output in English (from UK) and judge it on accuracy, naturalness, appropriateness, and overall quality , would a native speaker really say it this way?
- Test the English (from UK) 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.
- 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.
- Support other linguistic projects as needed.
Job Requirements
- Native-level or fully bilingual English (from UK), written and spoken, with a current feel for how the language is really used day-to-day.
- 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.