Perform copy-edit and translation tasks on clinical and regulatory documents for assigned projects.
Manage language resources, resolve terminology queries, and coordinate with freelancers and internal teams.
Ensure high-quality linguistic deliverables, meet KPIs, and contribute to process improvements.
Welo Life Sciences is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations in regulated global markets. They deliver ISO-certified translation, linguistic validation, and localization solutions with a secure, audit-ready framework.
Minimum 3 years' experience in translating and copy editing content in the specified subject matter areas.
Native level expertise of Afrikaans as target language with core understanding of cultural nuances.
Proficiency with CAT tools such as XTM, Phrase, Trados, Jira, Smartling.
Welocalize accelerates the global business journey by enabling brands to reach, engage, and grow international audiences through multilingual content transformation. With a network of over 400,000 in-country linguistic resources and teams across North America, Europe, and Asia, they deliver services in over 250 languages.
Manage translation and copy-editing tasks for assigned accounts.
Coordinate with freelancers and agencies to ensure quality and consistency.
Maintain language resources and resolve terminology queries.
Welocalize provides AI-enabled multilingual content solutions for global enterprises. Headquartered in New York with offices worldwide, the company combines AI, automation, and human expertise to serve over 300 languages.
Perform Korean to English copywriting and copy-editing for marketing content, creating title options that resonate with English-speaking audiences.
Deliver culturally relevant, meaningful titles that balance natural English with authentic Korean storytelling.
Provide rationales for title choices in both English and Korean when requested, aligning with brand voice and client needs.
Welocalize accelerates the global business journey by enabling brands to reach international audiences. With over 400,000 linguistic resources worldwide, they provide multilingual content transformation and training data solutions for machine learning.
Performing translations, review, and quality assurance of Oriya translation tasks.
Managing language assets such as glossaries, style guides, and work instructions.
Providing feedback to translators and supporting the onboarding and training of new linguists.
Welocalize is a trusted global transformation partner that accelerates the global business journey by enabling brands to reach and engage international audiences. With a network of over 400,000 in-country linguistic resources, they deliver multilingual content transformation services and innovative NLP data solutions.
Support and coordinate linguistic quality assurance activities across localization projects and accounts.
Manage linguistic assets including terminology, style guides, and translation memories.
Process customer feedback and support resource testing and linguist evaluation.
CQ fluency partners with leading healthcare and life sciences organizations to make communication clear, culturally relevant, and compliant through language technology and AI. Recognized on the Inc. 5000 Fastest-Growing Private Companies list for over a decade, the company fosters a culture of innovation, empathy, and excellence.
Proofread and edit localized content in your native language, catching grammar, typos, syntax, punctuation, and inconsistencies.
Translate content from English to your native language and test UI for functional issues.
Report bugs using internal databases, ensure quality, and adhere to project-specific standards and glossaries.
Welocalize accelerates global business by enabling brands to reach international audiences through multilingual content transformation services in 250+ languages. With a network of over 400,000 linguistic resources and teams across North America, Europe, and Asia, they blend technology and human intelligence for NLP-enabled machine learning.