Senior Computational Linguist

Preply

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

Posted 10/20/2026full-timeKyiv • UkraineSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Computational Linguistics and NLP, with a strong focus on prompt design, model evaluation, and data processing using Python. Proven ability to collaborate in cross-functional teams and apply qualitative and quantitative analysis to improve AI systems.

Highest-signal resume keywords

Computational LinguisticsNatural Language Processing (NLP)Python ProgrammingPrompt Design and EvaluationQuality Assurance for AI Systems

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingModel Behaviour AnalysisAnnotation WorkflowsEvaluation MethodsQuality-Control ProcessesDataset DevelopmentLinguistic TaxonomiesAI Component ImprovementAutomation TechniquesLinguistic Phenomena Formalization

Soft Skills

CollaborationQualitative AnalysisQuantitative AnalysisProblem SolvingCommunication

Tools & Technologies

AI ToolsEvaluation ToolingAnnotation GuidelinesTraining DatasetsCalibration Datasets

Industry Keywords

Language TechnologyLinguisticsLLMsCross-Functional TeamsNLP Research Best Practices

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Formalise linguistic phenomena into rules, taxonomies, annotation criteria, and system or model requirements
Design, evaluate, and improve prompts and AI components for language-learning use cases
Build training, calibration, and evaluation datasets, 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
Develop reusable solutions, resources, and practices that scale across use cases and languages
Stay informed about NLP and LLM research best practices and advances

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, 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
Free mental health support platforms
Open, collaborative, dynamic, and diverse culture