Multilingual Quality & Terminology Specialist (0726-CH-134)
Quick Summary
- Run multilingual AI quality evaluations across translation tools, models, and use cases,
- Background in localization, language technology, or NLP/AI with a strong language focus Solid understanding of terminology management,
Are you an experienced localization professional who is curious, proactive and excited by new ways of working?
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
~1 min readAs 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
~1 min readWe 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.
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)
What We Offer
~1 min readWe 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.
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.
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Location & Eligibility
About this job
- Who can apply
- India
- Posted
- Today
Listing Details
- First seen
- October 24, 2026
- Last seen
- October 24, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- October 24, 2026
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