preply - Senior Computational Lingiust

London, Greater London, United Kingdom+ Equity2w ago

In Office Senior EMEA Artificial Intelligence Oil & Gas Senior Researcher Python

Requirements

• 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. • Ability to collaborate effectively in cross-functional teams. • 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.

Responsibilities

• Formalise linguistic phenomena into clear rules, taxonomies, annotation criteria, and system or model requirements. • Design, evaluate, and improve prompts and other AI components for language-learning use cases. • 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. • Collaborate with engineers, product managers, learning designers, and computational linguists to develop reusable solutions, resources, and practices that scale across use cases and languages. • Stay informed of best practices and advances in NLP and LLM research.

Benefits

• An open, collaborative, dynamic, and diverse culture; • A generous monthly allowance for lessons on Preply.com http://preply.com/, Learning & Development budget, and time off for your self-development; • A competitive financial package with equity, leave allowance, and health insurance; • Access to free mental health support platforms;