Multilingual Quality & Terminology Specialist

Elsevier; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Long-service Awards

New Baby Gift

Subsidized Meals

Office Transport

Leave Policy

Job summary

Elsevier seeks a Multilingual Quality & Terminology Specialist to lead multilingual AI quality evaluations and terminology management. You will work with cross-functional partners across product, content, GenAI Evaluation, and Data Science to run evaluations, maintain terminology infrastructure, and translate results into actionable recommendations.

This role emphasizes building scalable terminology capabilities, governance, and collaboration across a globally distributed organization in a

Qualifications

• Background in localization, language technology, or NLP/AI with a strong language focus.
• Solid grounding in 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.

Responsibilities

• Run multilingual AI quality evaluations across translation tools, models, and use cases, producing insights for 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, with governance.
• Prepare and present quality readouts for AI product and localization teams, translating findings into 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 across a globally distributed, matrixed organization with stakeholders at varying levels of expertise.

Skills

Localization

Language Tech

NLP/AI

Terminology Management

LLM Evaluation

MT Benchmarking

Quality Evaluation

Coordination

English Communication

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

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. 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.

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.