This project moves beyond standard text processing to create a new paradigm of digital text that evaluates documents for pragmatic honesty, logical fallacies, and cognitive biases.

About the Role
We are seeking a Computational Linguist to join our team at Indeep Artificial Intelligence (IAI) who is as comfortable with formal semantics as they are with high-performance software engineering. You will be responsible for the "Brain" of the DPDF format: the engine that ingests raw text and outputs a structured, multi-layered pragmatic analysis. you are an architect who can programmatically constrain, evaluate, and chain them to perform complex linguistic "surgeries" on documents. Versatility: You are willing to wear the hat of a researcher one hour and a DevOps engineer the next, ensuring that your linguistic pipelines are performant, scalable, and secure. In a project focused on honesty and clarity, your code and prompts must be the gold standard of precision.

Key Responsibilities
Corpus Building & Annotation Design, build, and curate annotated corpora of domain-specific documents, including insurance contracts, legal texts, and grant applications. Oversee and quality-control annotation workflows, including work performed by external annotators or domain experts. Pragmatic Analysis Engine Develop and implement the core logic that classifies text according to Gricean Maxims (Quality, Quantity, Relation, Manner) and identifies Epistemic Traps. Design and implement software functions for granular document evaluation, automated Pragmatic Tagging, and real-time text editing and simplification. Build proprietary linguistic metrics. Advanced Prompt Engineering & LLM Orchestration Architect complex LLM orchestration pipelines, including Chain-of-Thought (CoT) & ReAct, programmatic prompting, few-shot, and meta-prompting.



Linguistic Analysis Pipeline Design Design and refine the linguistic analysis pipelines powering our TRIC scoring system (Truthfulness, Relevance, Informativeness, Clarity) and its Grice's maxim-based feedback engine. Translate pragmatic and discourse-level linguistic theory into concrete, implementable feature specifications. Maintain and evolve linguistic rule sets, ontologies, and concept taxonomies across document types and target languages (initially Italian, Spanish, and English). Evaluation Frameworks & LLM Judging Develop rigorous evaluation frameworks to assess the quality, accuracy, and consistency of LLM-generated outputs. Conduct systematic error analysis to identify failure modes in model outputs and translate findings into actionable improvement cycles. Cross-functional Collaboration Work closely with the product team to inform model fine-tuning, feature engineering, and retrieval pipeline design with linguistic expertise. Collaborate with the product and compliance teams to ensure linguistic outputs meet regulatory and accessibility requirements. Qualifications Required PhD or MSc in Computational Linguistics, NLP, or Computer Science with a strong NLP focus. Expert-level proficiency in Python. Ability to design validation tests for linguistic models, ensuring high inter-rater reliability between AI and human expert baselines. Hands-on experience building and curating annotated corpora, including annotation schema design and quality control. C2-level proficiency in English. Qualifications Preferred Experience with readability metrics and automated text quality assessment (e.
Background in legal, insurance, or scientific/grant document processing. Working proficiency in Italian and/or Spanish. Early-stage team member at a high-potential EIC-funded startup.

How to Apply
Submit your CV and a brief cover letter explaining your linguistic expertise and why you're excited about this role through LinkedIn.

📌 Spanish Linguist (España)
🏢 Indeep Artificial Intelligence
📍 España