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Welocalize is seeking a native Marathi speaker for on-site quality assurance of localization outputs. You will review AI model results in Marathi, compare with English flows, and assess accuracy, naturalness, and cultural appropriateness.
You’ll document issues with a reproducible process and support re-testing after fixes. The role requires comfort with iOS and Android, attention to detail, and the ability to explain issues in English.
Review pre-release AI model output in Marathi 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 Marathi 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 Marathi , 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.