WeLocalize

London
2,331 Total Employees
Year Founded: 1997

Jobs at WeLocalize

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Recently posted jobs

9 Days AgoSaved
In-Office
London, Greater London, England, GBR
Machine Learning • Natural Language Processing
Lead enterprise business development globally for localization services: prospect and close large accounts, manage RFPs/SOWs/quotes, maintain Salesforce data, build territory and account plans, collaborate with global teams, and travel ~30% to engage clients and industry events.
27 Days AgoSaved
In-Office or Remote
8 Locations
Machine Learning • Natural Language Processing
Translate English and Irish Gaelic content accurately, fluently, and according to customer requirements. Maintain terminology glossaries, coordinate with translators, prepare evaluation reports, participate in training, and continually improve translation quality and productivity. Meet delivery timelines and quality standards while communicating effectively with managers, clients, customers, and linguists. Remote translators must collaborate effectively with distributed teams.
27 Days AgoSaved
In-Office
London, Greater London, England, GBR
Machine Learning • Natural Language Processing
Reviews and troubleshoots digital video and audio quality issues, investigates playback and system problems, identifies recurring trends, and recommends short- and long-term solutions. The role operates in a high-volume environment, requires fast issue response, and involves technical compliance assessment, spreadsheet work, and communication with internal teams. Strong knowledge of digital video, audio, and subscription video content services is valuable.
One Month AgoSaved
In-Office
London, Greater London, England, GBR
Machine Learning • Natural Language Processing
Localize, transcreate and review French (Switzerland) marketing and music-related content for cultural relevance and brand voice. Perform linguistic QA, copy-editing, fact-checking, LQA on live platforms, market research, reporting, and act as subject-matter expert collaborating with global language teams to optimize multimedia campaigns.