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We are currently looking for a passionate and enthusiastic AI Linguist to join our Team. The AI Linguist will join our customer service bot/AI agent development team for contact center environments, contributing across the full project lifecycle: requirements gathering, conversation design, development, unit & integration testing, deployment, and post-production support. You will craft user intents, dialogue flows, prompts/guardrails, and linguistic resources; train/evaluate NLU/LLM-based components; and continuously optimize performance, accuracy, and customer experience in Spanish (and other supported languages).
Job Responsibility:
Elicit business goals, user journeys, intents/entities, FAQs, and deflection targets with stakeholders (CX, Operations, Legal)
Translate requirements into measurable NLU/LLM specs and acceptance criteria
Design intents, entities, dialogue flows, handoffs, error recovery, and tone of voice
Author prompts, system instructions, tool-use policies, and safety guardrails
Create high-quality utterance datasets, synonyms, lexical/regex patterns, and grammars
Build and fine-tune NLU/LLM components (classification, NER, summarization, RAG over knowledge bases)
Configure ASR/TTS for omnichannel (voice/chat/messaging)
Implement data quality checks, PII redaction/anonymization, and prompt/content moderation
Define and execute unit, integration, regression, A/B, and user acceptance tests
Evaluate with task metrics (containment, deflection, FCR, AHT impact, CSAT), and model metrics (precision/recall, F1, latency, hallucination rate)
Support CI/CD pipelines, release notes, and rollback plans
Monitor production with analytics dashboards, conversation reviews, error triage, and incident response
Drive continuous improvement via data-driven tuning and content updates
Ensure GDPR/LOPDGDD compliance, consent, data minimization, and retention policies
Apply Responsible AI practices (bias/fairness checks, safety red-teaming, documentation)
Partner with Contact Center Ops, QA, Knowledge Management, CRM teams, and vendor partners
Provide enablement materials and training for agents and supervisors
Requirements:
Participation in bot projects (voicebots, chatbots, virtual assistants, etc.) involving conversational flows, open questions, automation, NLU technologies (voice recognition, classification, voice synthesis), and generative AI
Experience in customer relations, requirements gathering, design, validation, etc.
Experience in recognition models (SST, TTS, NLU) as well as in their training or continuous improvement: Microsoft STT, MS LUIS/CLU, Google, Amazon, Nuance Recognizer
Experience in improving UX at the design, development, analysis, and continuous improvement levels of NLP associated with bots
Experience in designing, writing, and improving AI prompting under different LLM models
Ability to analyze and participate in consulting projects where customer automation bot services have been analyzed, evaluating KPIs, and a proposal for improving their systems and services has been developed
Nice to have:
Development of bots or agents using generative AI technologies such as AI Agentics architecture, Google Conversational Agent with Playbooks, Google AI Studio, Gemini, OpenAI, Amazon Bedrock, Microsoft Azure AI, other AI architectures, or LLMs
Bot development using conversation technologies such as DialogFlow, Genesys Dialog Engine, Nuance Mix, Microsoft Bot Framework, and VXML
Knowledge and experience in programming and scripting (Javascript/Node, Python, Java bash, etc.)
Proficiency and experience with project development tools and methodologies. IDEs, code repositories (mainly git), Agile