Localization Quality and Automation Specialist

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About the Role

As a Localization Quality and Automation Specialist, you’ll define and scale the quality backbone of our global content operations—connecting machine translation capabilities with premium customer experiences. You will architect and run the quality framework, metrics, and automation that elevate linguistic output while accelerating delivery through modern tooling.

Responsibilities

• Design and implement a localization quality framework, including automated QA checks, linguistic sign-off workflows, and error categorization

• Establish and operationalize objective MT quality metrics (e.g., MQM, DQF, BLEU, TER) across languages and content types

• Automate workflow bottlenecks by building or integrating scripts, APIs, and tools for QA, handoffs, and feedback loops

• Translate linguistic quality data into technical insights for ML teams; identify error patterns and improve MT model performance

• Analyze quality datasets, build dashboards/reports, and present actionable insights to stakeholders

• Evaluate, integrate, and manage localization tooling (CAT, TMS, QA checkers) and assess new technologies for fit

• Partner cross-functionally to drive continuous improvement across localization, engineering, and product

• Other duties as assigned

About You

Qualifications & Skills

• 14+ years of relevant work experience, including 5+ years in localization engineering, quality assurance, or tool management

• Strong understanding of linguistic quality principles, error typology, and industry-standard metrics (MQM, DQF, etc.)

• Proven experience with localization process automation (scripting, API integrations, regex) and tool selection/integration

• Familiarity with MT concepts, post-editing workflows, and MT quality assessment methods

• Proficiency in analyzing large datasets and delivering data-driven recommendations

• Excellent written and verbal communication; ability to explain technical topics to non-technical audiences and vice versa

• Nice to have: Hands-on experience with major TMS and CAT tools; scripting in Python or JavaScript; background in computational linguistics or data science.

#LI MO1 #LI- Remote

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.