Senior Computational Linguist

Preply

. Formalise linguistic phenomena into clear rules, taxonomies, annotation criteria, and system or model requirements .

Posted 10/20/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Computational Linguistics and Natural Language Processing, with a strong focus on prompt design, dataset creation, and model evaluation. Proficient in Python for automating data processing and analysis while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Computational LinguisticsNatural Language Processing (NLP)Python ProgrammingPrompt Design and EvaluationDataset Creation and Annotation

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingModel Behaviour AnalysisQuality AssuranceEvaluation MethodsAnnotation Workflows

Soft Skills

CollaborationQualitative AnalysisQuantitative AnalysisLinguistic Precision

Tools & Technologies

AI ToolsAutomation Tools

Industry Keywords

Language TechnologyLinguisticsLLMsQuality Control Processes

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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
Stay informed of best practices and advances in NLP and LLM research

Requirements

What you’ll need

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
Comfortable using AI tools for day-to-day problem solving, analysis, and workflow automation
Strong qualitative and quantitative analysis skills
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

Benefits

Comp & perks

A generous monthly allowance for lessons on Preply.com
Learning & Development budget
Time off for self-development
Competitive financial package with equity
Leave allowance
Health insurance
Access to free mental health support platforms
Open, collaborative, dynamic, and diverse culture