Senior Computational Lingiust

Preply; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Preply is seeking a Computational Linguist to combine linguistic expertise with AI-driven language-learning solutions. You will analyze linguistic phenomena, design prompts, and build datasets for training and evaluation across languages.

You will collaborate with engineers, product managers, and learning designers to scale reliable language-learning experiences, using Python for data processing and automation. An AI-native mindset and strong analytical skills are essential.

Qualifications

• 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 or Computational Linguistics.

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.

Skills

Computational Linguistics

NLP

Python

Data Analysis

Education

Degree in Linguistics or Computational Linguistics

Tools

LLMs

Job description

We power people’s progress.At Preply, we’re all about creating life-changing learning experiences. 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. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global 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.

Role Overview

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.

What you’ll be doing:

• 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.

What you need to succeed:

• 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, Computationa