Senior Computational Linguist Full time Hybrid Engineering We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled
- and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. As a category-defining company, we're shaping what the future of learning looks like at integral scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. As a Computational Linguist at Preply, you will combine linguistic expertise with technical skills to build and evaluate language-learning solutions powered by AI. You will analyse and formalise linguistic phenomena, design prompts and linguistic logic, build evaluation, training, and calibration datasets, investigate model behaviour and quality issues, and contribute to tooling and pipelines that help us scale reliable language-learning experiences across languages. Formalise linguistic phenomena into clear rules, taxonomies, annotation criteria, and system or model requirements. Build representative datasets for training, calibration, and evaluation, including annotation guidelines and quality-control processes. Evaluate model behaviour using qualitative and quantitative methods, investigate failure modes and quality issues, and validate fixes across prompts, models, data,



and downstream processing. Use Python and existing tooling to process linguistic data and automate evaluation. 2–3 years of experience in Computational Linguistics, NLP, or a related role. Hands?on experience working with LLMs, including prompt design, evaluation, and model behaviour analysis. Proficiency in Python for data processing, evaluation, and automation. Strong understanding of datasets, annotation workflows, evaluation methods, and quality assurance for AI systems. AI?native mindset: comfortable using AI tools as part of day?to?day problem solving, analysis, and workflow automation. Strong qualitative and quantitative analysis skills for evaluating linguistic data, model behaviour, and system quality. Degree in Linguistics, Computational Linguistics, NLP, Language Technology, or a related field, or equivalent practical experience. Excellent command of English, both spoken and written, with strong linguistic precision. com , Learning & Development budget, and time off for your self-development; A competitive financial package with equity, leave allowance, and health insurance; To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. Raise the bar
- We raise our performance standards continuously, alongside each new hire and promotion. We value open and candid communication, even when we don't fully agree. Tech company.

📌 Linguist (Barcelona)
🏢 Preply
📍 Barcelona