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AI Enablement Localization Specialist

Job Locations ES-Madrid
Requisition ID
20069419
Job Category
Research and Development
Travel Requirements
None

AI Enablement Localization Specialist- Hybrid, based Madrid

 

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

 

If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

 

About the job

The Global Experience team is seeking a AI Enablement Localization Specialist to own and evolve multilingual AI and MT solutions, including terminology governance, multilingual AI enablement, and MT/LLM quality across global products. This role focuses on guiding the multilingual aspects of AI‑enabled solutions, owning translation solutions and workflows, evolving linguistic knowledge assets, and ensuring consistent, high‑quality multilingual output at scale through data‑driven evaluation and continuous improvement. The role acts as a primary owner of the multilingual aspects of AI -enabled solutions, working closely with Product, Documentation Engineering and vendor teams, , e as multilingual AI capabilities are designed, implemented and integrated into products and customer‑facing experiences.  

 

As a AI Enablement Localization Specialist, you will:

 

Terminology & Knowledge Assets 

  • Create, manage and evolve glossaries, style guides, and other linguistic and cultural assets 

  • Design and own the terminology extraction process for products 

  • Drive a cross-functional effort to maintain central terminology database (Publications team, Marketing, Products) 

  • Govern multilingual term bases as a single source of truth for AI and MT, ensure consistency between glossary and TM translations.  

  • Collaborate with multilingual vendors and in-house teams to optimize workflows, translation memory, and terminology management. 

Machine Translation/AI and Model Evaluations 

  • Maintain and prepare glossary assets for MT trainings and LLM RAG 

  • Own MT and LLM engine strategy, including selection, training approach, benchmarking methodology and evaluation 

  • Own the design, selection, and evolution of translation solutions, including MT, LLM‑based translation, and hybrid workflows used across products and translation pipelines 

  • Determine when shared translation solutions can be reused across product and workflow contexts, and when differentiated approaches are required 

  • Measure MT or LLM output quality on a regular basis per locale for 20+ languages. Create and execute improvement plans when scores fall beyond a threshold. 

  • Design and test various localization workflow improvements by using AI (such as APE, LQE and LQA) 

Quality Evaluation 

  • Collect feedback from various stakeholders to establish end quality requirements. 

  • Define evaluation frameworks to access both raw MT/AI and post-edited translation quality  

  • Implement evaluation framework and monitor performance per locale 

  • Develop and execute improvement plans when quality standards are not met 

 
Multilingual AI Cross‑functional Enablement 

  • Partner with Product, Docs, and Engineering teams to define and guide the  multilingual aspects of AI-enabled features, ensuring language quality, consistency, and scalability requirements are met as solutions are implemented into products and customer‑facing experiences. 

  • Lead Multilingual AI capabilities testing and ensure it adheres to company standards, terminology, and tone of voice. Provide recommendations for model improvements if needed. 

  • Ensure all applicable security policies and processes are followed to support the organization's secure software development goals. 

  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. 

 

Required qualifications

 

  • Minimum of 5 years of experience in working in a localization terminologist, machine translation and/or multilingual AI focused role, ideally in a stakeholder or client-facing environment. 
  • Bachelor's degree required, preferably in Linguistics, Computer Science or related fields. Masters is a plus.
  • Expert on Machine Learning, LLMs, NLP, process automation and technology, out of the box thinking with data analytical skills to drive great customer experience
  • Experience with building and maintaining terminology databases
  • Experience evaluating machine translation quality using automated metrics such as edit distance, BLEU, and COMET, and interpreting results to guide MT and LLM quality decisions.
  • Experience setting up and using linguistic quality framework, managing quality control processes for linguistic outputs, ensuring adherence to high-quality standards
  • Experience using localization technology (TMS/CAT tools, machine translation, LLMs) and processes, particularly for CICD software deployment model
  • Proficiency in additional language(s).
  • Proven ability to solve complex linguistic and technical challenges, attention to detail
  • Ability to measure, analyze, and present data to stakeholders.
  • Ability to adjust working hours to accommodate a variety of time zones
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

 

Additional competencies, knowledge and skills

  • Quality Orientation-Accomplishing tasks by considering all areas involved, no matter how detailed; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time 

  • Communication- Conveying information and ideas clearly and concisely to individuals or groups in an engaging manner that helps them understand and retain the message; listening actively to others. 

  • Collaborating- Working cooperatively with others to help a team or work group achieve its goals. 

  • Experience using project management tools (e.g. Jira) and source management systems (e.g. GitHub).
  • Programming skills are a plus (Python, SQL, mySQL).

 

Benefits highlights

  • Our Recreation and Fitness Center offers recorded fitness classes to help you fit movement into your day.
  • SAS supports your well-being with programs that reduce stress and distractions to help you stay healthy and productive.

 

You are welcome here

 

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. 

 

Additional Information:

 

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

 

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