Senior Localization Specialist

About the role

As Senior Localization Specialist focused on Language Quality & AI, you will own our strategy for evaluating language quality, as well as testing and training AI models to help us achieve quality at scale. This is a project-based role in which you will lead 1-3 major initiatives each quarter.

What you'll do

• Evaluate and train MT/AI models to continuously improve the output for different content types and make recommendations based on model effectiveness
• Define strategies for optimizing MT/AI models and determine the right allocation of MT/AIPE and human translation/review to achieve quality goals
• Design scalable quality measurement workflows, including integrations with TranslatedOS and automation
• Measure and report on language quality across 36+ languages and multiple content types (product, marketing, inventory), and establish quality benchmarks
• Analyze quality data (e.g. error patterns) and deliver insights into how quality levels impact users and business outcomes across different markets
• Partner with internal and external stakeholders (e.g., Engineering, Quality Account Managers) to align on MT architecture decisions

What you'll need

• 3+ years evaluating and optimizing MT and AI models across different content types and languages for a tech company with a large global reach
• Experience with prompt engineering and fine-tuning LLMs for translation tasks
• Strong technical knowledge of localization, including translation management systems, quality evaluation frameworks, automation tools, and managing TMs, style guides, and glossaries
• Proven ability to design and implement scalable systems using methods like MTQE, AI LQA, and human review to measure language quality
• Strong analytical skills, using data and insights to make informed decisions
• Comfortable with high autonomy in fast-paced, ambiguous settings, executing with a test-and-learn mindset
• Strong cross-functional collaboration skills – you can translate quality insights into actionable recommendations for stakeholders

Nice to have

• Passionate about AI-first workflows and localization, and the potential to achieve human precision at AI scale
• Familiarity with TranslatedOS or similar AI-powered platforms
• Background in computational linguistics, language technology, or related technical fields
• Prior experience working as a translator or linguist

What they offer

• Annual personal growth budget and mentorship programs
• Work from anywhere in the world for 30 days per year
• Hybrid working approach with three days of in office collaboration and two days of optional at home focus time
• Monthly transportation and fitness budget
• Health and wellness benefits
• Language reimbursement program