Multilingual Quality & Terminology Specialist (0726-CH-134)

Job description

Are you an experienced quality engineer with a ‘can do’ attitude and enthusiasm that inspires others? And are you eager to work on delivering high quality products to our customers? About our Team:- GLoSS (Global Localization Solutions & Services) is Elsevier's central localization technology and expertise service. We deliver shared infrastructure, AI-powered translation tools, linguistic data assets, and localization expertise to teams across the business, from Journal Operations and Clinical Solutions to Marketing and Product. Launched in 2021, we've grown rapidly and work in a matrixed environment with stakeholders across functions and geographies. We are part of Operations and sit within the AI and Knowledge Operations department. Our team is small, high-impact, and globally distributed. This role is based in India and reports to the Localization Solutions Manager in Amsterdam. About the Role:- As Multilingual Quality & Terminology Specialist, you will own the day-to-day execution of two closely related capability streams: multilingual AI quality evaluation and terminology management. Working alongside capability leads and cross-functional partners across product, content, GenAI Evaluation, and Data Science, you will run evaluations, maintain terminology infrastructure, coordinate reviewer networks, and turn results into clear, actionable recommendations. Terminology and language quality are increasingly recognized across Elsevier as critical infrastructure for AI: the data layer that makes AI outputs trustworthy, consistent, and defensible. You will play a direct role in building and scaling these capabilities across the business. This is a new kind of role, in a space where new approaches are developing fast. The right candidate brings solid localization expertise, genuine curiosity about AI, and the confidence to build in ambiguous, fast-moving environments. Responsibilities: - Run multilingual AI quality evaluations across translation tools, models, and use cases, producing insights that inform product and localization decisions Coordinate and manage reviewer networks for evaluation and terminology programs Build and maintain terminology infrastructure: term bases, style guides, and multilingual language assets across Elsevier domains, including governance processes and stakeholder-specific terminology structures Prepare and present quality readouts for AI product and localization teams, translating evaluation findings into clear, actionable recommendations Onboard and support stakeholders on evaluation methodologies and terminology processes Collaborate with GenAI Evaluation, AI product, platform, and content teams to integrate quality and terminology into shared workflows Work effectively across a globally distributed, matrixed organization with stakeholders at varying levels of technical and linguistic expertise Requirements: - Background in localization, language technology, or NLP/AI with a strong language focus Solid understanding of terminology management, with hands-on experience building or maintaining term bases or style guides Solid grounding in translation quality evaluation concepts and metrics; hands-on experience with LLM evaluation or MT benchmarking is a strong plus Genuine curiosity about AI and what it means for multilingual quality: you follow the space and are eager to develop hands-on experience Comfortable working with structured data, AI tools, and technical workflows; willing to learn new tools and approaches as the technology evolves Strong coordination and collaboration skills, comfortable working across teams, disciplines, and time zones Clear communicator in English, able to translate technical findings for non-technical audiences Comfortable with ambiguity: you take ownership, bring your own ideas, and develop your thinking rather than waiting for direction Eager to grow in a fast-moving field where the best practices are still being defined{Empty} Work in a way that works for you: - We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you: - At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Group Health Insurance Policy (covering self and family) Group Life insurance/accident policy Generous long-service awards New Baby gift Subsidized food provided (applies to India- Chennai) Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave Free Transport provided to and from the office (applies to India-Chennai) About Us: - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .