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LANGUAGE-FOCUSED AI QUALITY ANALYST (PERSONALIZATION) @ E-SOLUTIONS INC.

India, Remote Posted 3/30/2026 e-solutionsinc.com 1021 Views
We are seeking a Language-Focused AI Quality Analyst to join our team, focusing on personalization tasks. In this role, you will work at the cutting edge of linguistics and technology, helping to refine and improve AI-driven user experiences. You will be responsible for evaluating and improving the quality of AI responses in specific languages to ensure they are accurate, culturally relevant, and personalized for users. This is an exciting opportunity to contribute to the training of sophisticated machine learning models through detailed linguistic analysis.

This is a remote opportunity available in multiple countries including India, Bangladesh, Pakistan, Kenya, Nigeria, Ghana, Egypt, Turkey, Vietnam, Indonesia, Brazil, and Colombia. Candidates must be fluent in at least one of the following target languages: Polish, Dutch, Bulgarian, Danish, Finnish, Greek, Norwegian, Romanian, Swedish, French, German, or Italian. Your expertise will directly impact the development of next-generation AI systems by providing high-quality feedback and data analysis. This position offers a flexible remote working environment for those passionate about language and technology.

Key Requirements

Native or professional fluency in at least one target language (e.g., Polish, Dutch, Bulgarian, Danish, Finnish, Greek, Norwegian, Romanian, Swedish, French, German, or Italian). Strong academic or professional background in Linguistics, Translation, or a related field. Previous experience in AI quality assurance, data labeling, or language evaluation preferred. Excellent written and verbal communication skills in English for internal coordination. Deep understanding of cultural nuances and local linguistic contexts of the target language. High attention to detail and the ability to detect subtle errors in machine-generated text. Ability to work independently in a remote setting while meeting strict quality deadlines. Proficiency with digital annotation tools, spreadsheets, and standard communication software. Strong analytical skills to assess the relevance and accuracy of personalized AI responses. Reliable high-speed internet connection and a dedicated, quiet workspace for remote operations.

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