SlipstreamJobsFresh Startup & VC-Backed Jobs

Senior Computational Lingiust

Preply - London, United Kingdom - In-office - posted 2026-10-12

Apply on the company site

SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.

Preply is a unicorn edtech platform (Series D, $150M) that connects 100,000+ tutors teaching 90+ languages to learners across 180 countries. The company combines human-led instruction with AI-enhanced learning to create personalized language-learning experiences at global scale. As a Senior Computational Linguist, you will bridge linguistic expertise and technical capability to build and evaluate AI-powered language-learning solutions. Your work will span the full pipeline: formalizing linguistic phenomena into rules, taxonomies, and annotation criteria; designing and iterating on prompts and AI components; building representative datasets with annotation guidelines and quality-control processes; and evaluating model behavior using qualitative and quantitative methods to identify and validate fixes across prompts, models, data, and downstream processing. You will use Python and existing tooling to process linguistic data and automate evaluation workflows. Collaboration is central: you'll work with engineers, product managers, learning designers, and fellow computational linguists to develop reusable solutions, resources, and practices that scale across use cases and languages. You'll also stay informed of advances in NLP and LLM research to inform your work. Preply offers a collaborative, dynamic culture with a generous monthly allowance for lessons, learning & development budget, competitive financial package including equity, health insurance, mental health support, and time off for self-development. REQUIREMENTS: - 2–3 years of experience in Computational Linguistics, NLP, or related role - Hands-on experience with LLMs, including prompt design, evaluation, and model behavior 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 for problem-solving, analysis, and workflow automation - Strong qualitative and quantitative analysis skills for evaluating linguistic data, model behavior, and system quality - Ability to collaborate effectively in cross-functional teams - Degree in Linguistics, Computational Linguistics, NLP, Language Technology, or related field, or equivalent practical experience - Excellent command of English, both spoken and written, with strong linguistic precision

Similar roles