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This role is focused on manual quality assurance testing of AI-generated outputs to evaluate the accuracy, context, grammar, fluency, and pronunciation supported language. You will work closely with the R&D team and AI engineers who are building the models, offering direct feedback and test results that shape the final product. This is a high-impact role that ensures our models meet linguistic standards and serve real users accurately and naturally. 🔹 Key Responsibilities · Check if the AI speaks and writes correctly in different languages, accents, and regions. · Make sure the AI sounds natural and uses the right grammar, tone, and local expressions. · Report mistakes in the AI’s language output, including unclear pronunciation or wrong words. · Work closely with the AI team to improve how well the AI understands and speaks different languages. · Test the AI’s results manually or using tools, and keep clear records of what works and what doesn’t. · Give feedback on how user-friendly the AI is for people from different cultures and backgrounds. · Ensure the AI treats all languages and cultures fairly and follows privacy rules. · Review translated text and voice outputs to see if they make sense in your native language. · Point out common language mistakes and help fix them. · Recheck results after the AI is updated to make sure issues are resolved. · Attend discussions with the AI team to share your language knowledge. · Help build examples and tests to train and measure the AI's language skills. · Fill out feedback forms and track progress on errors and fixes. · Stick to timelines and guidelines shared by the QA or project manager. 🔹 Required Qualifications · Native speaker of the target language (fluency in speaking, reading, and writing) · Good command of English for translation comparison and documentation · Strong understanding of grammar, cultural nuances, idiomatic usage, and slang in the native language · Prior experience in language QA, proofreading, translation review, or content moderation is preferred · Familiarity with Google Sheets, Word, or QA tracking tools 🔹 Preferred Skills · Basic knowledge of AI/ML or translation systems · Experience in speech/audio evaluation tools (Audacity, Praat, etc.) is a plus · Comfortable working with R&D or technical teams · Organized, detail-oriented, and proactive in raising issues