Vaga — Localization Specialist
Core
Translate, adapt, and quality-check digital product interfaces, websites, and educational content for Brazilian Portuguese audiences.
Role type
Localization Specialist (Project-based)
Builds
Localized digital products and educational content for Brazilian users
Domain
EdTech / Digital Products / Localization
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure | physical/clinical work
Required skills
Native Brazilian Portuguese, Advanced English, Translation and localization of digital products, i18n/l10n concepts, Technical localization issue identification, Glossary and style guide maintenance, Linguistic quality assurance (LQA), Cultural adaptation of educational content
Preferred skills
CAT tools (Crowdin, Trados, memoQ, XTM, Lokalise, Phrase), Git/version control, JSON/HTML/Markup technologies, EdTech product experience, Agile environment collaboration
Technologies
JSON, XML, .po, .strings, Crowdin, Trados, memoQ, XTM, Lokalise, Phrase, Git, HTML
Responsibilities
Translate, review, and culturally adapt product interfaces, UX copy, websites, internal systems, and related educational content for Brazilian Portuguese audiences. Review localized content directly within the product, checking context, formatting, truncation, variables, and overall user experience. Identify and report technical localization issues, including exposed tags, incorrectly formatted variables, encoding problems, and text that does not display correctly. Collaborate with engineering teams to understand technical constraints such as character limits, interface components, placeholders, and implementation requirements. Maintain and continuously improve Brazilian Portuguese glossaries, style guides, and translation memories to ensure consistent terminology. Work with international teams in English to clarify context, priorities, requirements, and deadlines for localization projects. Conduct linguistic quality assurance (LQA) across localized screens and user flows, comparing them with source content and identifying inconsistencies before release. Adapt educational and institutional content to Brazilian linguistic, cultural, and educational contexts, including locally appropriate expressions and references.