Multilingual Quality & Terminology Specialist (0726-CH-134)
RELX (company site, opens in a new tab)ChennaiOn-siteDirect career pageEst. 9–16 LPA
Posted on 17 Sept
Reach people at RELX
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at RELX you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own day-to-day execution of multilingual AI quality evaluation and terminology management programs.
- Coordinate reviewer networks, maintain terminology infrastructures (term bases, style guides), and ensure governance across Elsevier domains.
- Translate evaluation findings into actionable recommendations to inform product and localization decisions, collaborating with cross-functional teams globally.
Minimum Requirements
- Background in localization, language technology, or NLP/AI with strong focus on language.
- Hands-on experience with terminology management including building or maintaining term bases or style guides.
- Experience with translation quality evaluation concepts and metrics; experience in LLM evaluation or MT benchmarking is a strong plus.
- Clear communication skills in English for technical and non-technical audiences; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Operates effectively in matrixed, globally distributed, and fast-evolving environments managing multilingual AI and localization workflows.
- Possesses solid localization expertise combined with genuine curiosity and engagement with AI and language technology trends.
- Skilled at coordinating cross-disciplinary teams and translating complex technical evaluation data into clear, actionable business insights.