
Job Overview
Location
Spain
Job Type
Full-time
Category
Operations
Date Posted
May 7, 2026
Full Job Description
đź“‹ Description
- • The Opal Platform Operations role at WeLoglobal Inc. ensures clients are configured, operational, and supported on the internal Opal platform without requiring direct AI/ML Engineering involvement for routine matters, serving as a critical bridge between client delivery and platform mechanics.
- • Day-to-day responsibilities include configuring and maintaining platform environments across TMS platforms (XTM, Phrase, memoQ, Trados), managing MT engine connections, workflows, AIPE/AIQE parameters, and provider-level settings such as glossaries and model selection.
- • The role acts as the primary diagnostics layer between production teams and AI/ML Engineering, investigating MT quality issues, identifying root causes (data, engine, pipeline, or TMS), and escalating with clear reproduction steps and context.
- • The position supports pre-sales as an MT/AI subject matter expert by building ROI models, preparing QBR insights (edit distance trends, MT savings, cost usage), and advising clients on MT strategy, including engine selection and content suitability.
- • The individual will identify and eliminate manual processes through automation by designing or building tools, scripts, and workflows that reduce human intervention and improve scalability—a core expectation of the role.
- • WeLoglobal is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages, with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications and five specialized brands including Welocalize, Park IP, Welo Life Sciences, Adapt, and Welo Data.
- • In this role, the candidate will develop deep expertise in multilingual MT operations, gain hands-on experience with enterprise TMS platforms, and grow their ability to translate technical platform capabilities into client-facing business value through data-driven insights and automation.
🎯 Requirements
- • Hands-on experience with at least one major TMS (XTM, Phrase, memoQ, Trados), including configuration of MT integrations, workflows, and templates
- • Strong understanding of XLIFF/MXLIFF formats and translation pipelines
- • Experience integrating MT providers (e.g., Google AutoML, Microsoft Custom Translator, DeepL, Systran)
- • Knowledge of MT customisation, including training data, model types (generic vs custom NMT), and quality drivers
- • Familiarity with MT evaluation metrics (BLEU, TER, edit distance) and human evaluation frameworks
- • Ability to navigate provider platforms and understand their capabilities, limitations, and pricing models
🏖️ Benefits
- • Opportunity to work with a global leader in multilingual AI and language technology serving clients in 300 languages
- • Exposure to cutting-edge NLP, computational linguistics, and AI data infrastructure across five specialized brands
- • Work within a company backed by seven ISO certifications and a network of over 500,000 linguists and domain experts
- • Role based in Spain with impact on international client operations and platform innovation
- • Chance to build automation and tools that directly improve scalability and reduce manual effort in MT operations
- • Professional growth in bridging technical platform operations with client-facing business strategy and pre-sales support
Skills & Technologies
About WeLoglobal Inc.
WeLoglobal is a technology company specializing in providing innovative logistics and supply chain solutions. Their platform leverages advanced analytics, AI, and automation to optimize transportation, warehousing, and inventory management for businesses across various industries. WeLoglobal aims to enhance efficiency, reduce costs, and improve visibility throughout the supply chain. They offer services such as freight management, last-mile delivery optimization, and real-time tracking, enabling clients to streamline their operations and meet customer demands more effectively. The company focuses on digital transformation within the logistics sector, making complex supply chains more manageable and responsive.
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