# Language AI Solutions Specialist **Company**: Keywords Studios **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Category**: IT **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q64141679 **Apply**: https://apply.workable.com/j/6CE9AC2D12?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_6f7dce70-064 ## Description As a Language AI Solutions Specialist, you will bridge the gap between traditional localization and cutting-edge AI. You will be responsible for the end-to-end lifecycle of translation systems,from legacy Neural MT to modern LLM-based solutions. Your mission is to architect, tune, and deploy high-performance language models that drive global scalability while maintaining uncompromising linguistic quality. ## Key Deliverables - Hybrid Engine Deployment: Design, test, and certify Neural MT systems (KantanMT) and fine-tuned LLMs tailored to client-specific domains. - Performance Analytics: Deliver comprehensive quality reports, including Predictive TER scores, MQM-DQF/COMET/G-Eval metrics, and Human-in-the-Loop (HITL) evaluations. - Production Integration: Working closely with internal stakeholders (Development, Production, etc.) to oversee the seamless transition of validated models into live production environments. ## Core Responsibilities ### AI Model Tuning & Optimization - Fine-Tuning & Hyperparameters: Execute supervised fine-tuning (SFT) on LLMs to align output with Client/Project specific style, voice, and domain-specific terminology. - RAG Corpus Management: Architect and maintain high-quality corpora for Retrieval-Augmented Generation, ensuring that vector databases are populated with clean, relevant, and deduplicated data. - Data Engineering: Perform advanced data analysis, cleansing, and data generation to prepare clean datasets for model training and tuning. - Output Verification: Utilize native-level linguistic expertise to perform deep-dive audits of NMT and LLM outputs, identifying nuanced errors such as hallucinations, cultural insensitivity, or tone inconsistency that automated metrics might miss. ### Linguistic Asset Engineering - Modernization: Manage and optimize Translation Memories (TMs) and Termbases to serve as the foundational "ground truth" for AI training. - Quality Control: Implement and evolve Machine Translation Post-Editing (MTPE) workflows, integrating AI-assisted quality estimation (QE) to reduce manual overhead. ### Analytics & Productivity Insights - Impact Metrics: Gather and analyze post-deployment data, focusing on Edit Distance, time-to-market reduction, and cost-per-word efficiency. - Stakeholder Reporting: Translate complex technical data into actionable insights for Program Managers and clients, recommending rebuilds or retraining cycles where necessary. ### Operations & Troubleshooting - Technical Support: Serve as the escalation point for engine failures, API latency issues, or unexpected model "hallucinations". - Process Documentation: Create "Living Documentation" for evolving AI workflows to ensure team-wide alignment and scalability. ## Requirements ### Required Skills - Fluent English and native level of any core Asian languages (Chinese, Japanese or Korean) - 3-4 years of experience in the localization industry, working as a Project Manager, Translator, Post-Editor or QA tester - Machine Translation Post Editing: Solid understanding of MTPE, proven track record in correcting NMT or LLM outputs for fluent, accurate and brand-consistent target text. - Degree in Translation, Translation Technology or relevant experience. - Aptitude for analytics: Ability to understand and work with string-matching and edit metrics (e.g., explaining Edit Distance in a post editing context, understanding MQM-DQF frameworks etc.) ### Preferred Skills - Solid understanding of CAT tools and CMS/TMS systems in the localization industry - AI/LLM applications - knowledge of prompt engineering, RAG corpus management and familiarity with Vector Spaces - Basic knowledge of Python and Regex ## Skills ### Required - Machine Translation Post Editing - Translation Technology - Localization - AI Model Tuning - Data Engineering - Linguistic Asset Engineering - Analytics ### Nice to have - CAT tools - CMS/TMS systems - AI/LLM applications - Python - Regex --- Source: [Apply at apply.workable.com](https://apply.workable.com/j/6CE9AC2D12?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)