Senior Linguist – Marketing & Life Sciences, Oromo

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September 30

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Welocalize

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Artificial Intelligence • Enterprise • SaaS

Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• We are building team of Freelance Language Experts who can collaborate with us on Multiple accounts and programs. • Deliver multilingual content transformation services in translation, localization, and adaptation for over 250 languages. • Drive high-quality training data transformation solutions for NLP-enabled machine learning by collecting, annotating, and evaluating content types. • Work across locations in North America, Europe, and Asia serving global clients.

🎯 Requirements

• Minimum 3 years' experience in translating, copy editing content in the specified subject matter areas or verticals: Investigator facing, Patient facing and/or Pharmacy material, Marketing, Help and UI content. • Professional level understanding of English (US/GB). • Native level expertise of Oromo as Target Language with core understanding of cultural nuances. • Candidate should be well versed with various CAT tools like- XTM, Phrase, Trados, Jira, Smartling etc. • Working knowledge of MS office applications like MS Word, MS Excel. • Desirable: Translation degree or, if other degree, 3 years of translation experience or, if no degree, 5 years of translation experience.