Location: Remote (within Portugal, the UK, or the EU) Availability: Full-time (40 hours/week) Project Duration: 12 months from start date Start date: June Who We Are Looking For We are looking for a native-level Spanish Computational Linguist with a strong understanding of speech and language. Ideal candidates will be detail-oriented, comfortable working with audio data, and capable of collaborating closely with scientists and technical teams. Having an additional language is a plus. Role Description: Assess the quality of speech in Spanish-Spain. This role requires the ability to accurately analyze and discuss speech and audio, along with some background in linguistics or speech processing. Computational skills are also required, including Python and at least basic command-line proficiency. Responsibilities - Assess the quality of speech in Spanish - Categorize and annotate speech according to provided specifications - Interact and collaborate with a team of scientists on a daily basis - Report findings and insights Requirements - Native or near-native proficiency in Spanish - Background in linguistics, speech processing, or a related field - Experience in using, adapting and creating scripts in python - Strong analytical and communication skills - Ability to discuss and evaluate audio/speech quality confidently - Comfortable working full-time on a long-term project (12 months) - Additional language skills are a plus Privacy Notice: defined.ai/candidate-privacy-statement

• Design, build, and optimize AI-powered solutions using LLMs, RAG pipelines, semantic search, GraphRAG, and Agentic AI architectures. • Implement and experiment with the latest advancements in large-scale language modeling, including prompt engineering, model fine-tuning, evaluation, and monitoring. • Collaborate with product, backend, and data engineering teams to define requirements, break down complex problems, and deliver high-impact features aligned with business objectives. • Inform robust data ingestion and retrieval pipelines that power real-time and batch AI applications using open-source and proprietary tools. • Integrate external data sources (e.g., knowledge graphs, internal databases, third-party APIs) to enhance the context-awareness and capabilities of LLM-based workflows. • Evaluate and implement best practices for prompt design, model alignment, safety, and guardrails for responsible AI deployment. • Stay on top of emerging AI research and contribute to internal knowledge-sharing, tech talks, and proof-of-concept projects. • Author clean, well-documented, and testable code; participate in peer code reviews and engineering design discussions. • Proactively identify bottlenecks and propose solutions to improve system scalability, efficiency, and reliability.

• Bring your technical expertise and project management skills to lead small teams of researchers and engineers on advanced R&D projects funded by government and commercial customers. • Collaborate with external, well-known academic and industry researchers in Natural Language Processing, ML, AI, and computer vision. • Lead proposals for new funding from government R&D organizations and/or commercial companies. • Develop and evaluate algorithms to understand the textual content of textual and multi-modal data, and/or perform reasoning on extracted data. • Enjoy support and encouragement for participation in national and international NLP, machine learning, AI, and/or computer vision conferences.

• Develop robust solutions in the areas of Natural Language Processing, Large Language Models, Foundation Models, ML, and AI. • Develop and evaluate algorithms to understand the textual content of textual and multi-modal data, and/or perform reasoning on extracted data. • Enjoy support and encouragement for participation in national and international NLP, machine learning, AI, and/or computer vision conferences. • Be encouraged to seek funding to grow and develop your own research areas, if you desire.