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About Welocalize Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation,…
A hands-on, on-site role in Cluj-Napoca for a native-level Swedish speaker who evaluates pre-release AI model output in Swedish and functionally tests it on client-supplied devices (smartphone and smart glasses). Day to day: linguistic quality judging, localization/display bug spotting, and writing reproducible English bug reports.
An on-site role in Barcelona for a native-level Hindi speaker: evaluating pre-release AI model output in Hindi (accuracy, naturalness, fact-checking) and functionally testing the Hindi product experience on a client-supplied smartphone and smart glasses, logging reproducible bugs and localization issues. Core work involves linguistic AI evaluation and QA testing across iOS/Android devices.
A native-level Hebrew speaker evaluates pre-release AI model output in Hebrew and functionally tests the product on client-supplied devices (smartphone and smart glasses), on-site in Barcelona. Day to day: judging translation quality, checking right-to-left/localization handling, and writing reproducible bug reports in English.
An on-site role in Barcelona for a native-level Polish speaker: evaluate a pre-release AI model's Polish output for accuracy and naturalness, and functionally test the Polish experience on client-supplied devices (smartphone and smart glasses), logging clear, reproducible issues for developers.
A native-level Persian speaker evaluates pre-release AI model output in Persian and functionally tests the product on client-supplied devices (smartphone and smart glasses) on-site in Barcelona. Day to day involves quality-rating AI responses, checking localization (RTL script, diacritics, display issues), and writing reproducible bug reports in English.
An on-site role in Cluj-Napoca for a native-level Romanian speaker: judge pre-release AI model output in Romanian (accuracy, naturalness, fact-checking) and functionally test the product on client-supplied smartphones and smart glasses, writing clear, reproducible bug reports in English.
A native-level Dutch speaker works on-site in Barcelona evaluating pre-release AI model output in Dutch and functionally/localization-testing it on client devices (smartphone and smart glasses), writing reproducible bug reports. Core focus: linguistic quality judgment, localization QA, and device testing for a confidential AI/consumer-tech programme.
A native-level Turkish speaker evaluates pre-release AI model output in Turkish and functionally tests the product on client-supplied devices (smartphone, smart glasses), all on-site at Welocalize's Barcelona office. Day to day it's linguistic QA, localization error spotting, and clear English bug reporting.
A native-level Italian speaker evaluates pre-release AI model output and functionally tests the Italian experience on client-supplied devices (smartphone and smart glasses) on-site in Barcelona. Day to day: linguistic quality judgement, localization/functional QA, and clear bug reports written in English.
Native-level German speakers evaluate pre-release AI model output and test it on a client-supplied smartphone and smart glass, on-site at Welocalize's Barcelona office — judging language quality, spotting localization errors, and writing reproducible bug reports. Requires fluent German, English for reporting, and comfort with iOS/Android devices.
On-site role in Barcelona for a native-level Spanish (LATAM) speaker: evaluate pre-release AI model output for accuracy and naturalness, and functionally test the product on client-supplied devices (smartphone and smart glasses), logging localization and display bugs for developers. Confidential programme requiring in-office work at Welocalize.
Manages complex AI training-data projects (data collection, labeling, and model evaluation) for GenAI clients end to end — owning delivery plans, budgets and margins, client communication, and quality, while guiding a small pod of project coordinators. Based in Gurgaon, India, using spreadsheets, PM/task boards, and basic BI.
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