Spanish (LATAM) Linguistic Evaluator & Functional Tester

On-site Barcelona

About Welocalize 

Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com 

ROLE OVERVIEW  

Welocalize is looking for a native-level Spanish (LATAM) speaker to join a confidential, large-scale AI and consumer technology programe for a major global technology and communications client.  

It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in Spanish (LATAM) , and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  

MAIN RESPONSIBILITIES  

  • Review pre-release AI model outputs in Spanish (LATAM) and evaluate them for accuracy, naturalness, appropriateness, and overall quality—would a native speaker say it this way? Fact-check each response against the provided source material. 

  • Test the Spanish (LATAM)  experience against English: confirm feature parity, complete an end-to-end user journey using non-English input, and verify that the product correctly handles non-Latin scripts, diacritics, right-to-left text, and mixed-language input.

  • Identify any display issues (text cut off, overflowing, or rendering poorly) and any localization errors—incorrect dates, numbers, currencies, units, or untranslated strings.

  • Document each issue clearly so a developer can reproduce it—include steps taken, device and OS, locale, build ID, and supporting evidence. Retest after a fix ships to confirm it’s resolved.

  • Provide native-level insights on navigation and usability, calling out Spanish (LATAM)-specific nuances that only a fluent speaker would notice.
  • Work on-site in a private, secure area of the Welocalize office; due to the confidential, pre-release nature of the work, remote or work-from-home options are not available.

  • Assist with other linguistic projects as needed.

JOB REQUIREMENTS   

  • Native-level or fully bilingual proficiency in Spanish (LATAM), written and spoken, with an up-to-date sense of real-world usage across both everyday and technical contexts.
  • Confident using smartphones and laptops; comfortable working across both iOS and Android.

  • Strong attention to detail and fair, objective judgment when assessing quality.

  • Ability to work independently, follow detailed test scripts and guidelines, and clearly explain issues in English.

  • Previous experience in software/app testing, localization QA, or linguistic evaluation is a strong plus, but not required if you bring the language skills and attention to detail.

Welocalize helps the world’s leading brands reach global audiences—and language testing is at the core of that mission. You’ll work alongside experienced linguists and testers on pre-release technology, in a team that takes quality and precision seriously.

If you’re a native-level Spanish (LATAM)  speaker with a keen eye for detail and an interest in how language and technology intersect, we’d like to hear from you.

Source: the employer's careers page. Last checked 2026-09-30. Posted 2026-09-23.

Applications happen on Welo Global's own site. View role and apply

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