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- Tasks: Analyse multilingual datasets and improve AI language technologies.
- Company: Join a global staff augmentation firm with a commitment to diversity.
- Benefits: Gain experience in cutting-edge AI projects and collaborate with experts.
- Why this job: Make a real impact on the future of language technology.
- Qualifications: Master’s or PhD in Linguistics, strong analytical skills, and Python proficiency.
- Other info: Ideal for linguistics enthusiasts looking to work in a dynamic tech environment.
The predicted salary is between 36000 - 60000 £ per year.
Duration: Until December 2026
We are seeking a Computational Linguist to support multilingual AI research projects involving language analysis, dataset development, and linguistic evaluation of AI model outputs. The role focuses on applying linguistic expertise to large language datasets and collaborating with engineers and researchers to improve language technologies such as translation, speech systems, and multilingual language models. This position is ideal for someone with a strong theoretical linguistics background and experience working with natural language processing (NLP) systems and multilingual data.
Key Responsibilities
- Perform linguistic analyses on large multilingual datasets.
- Conduct error analysis of AI-generated text, identifying frequent and critical linguistic errors.
- Develop and maintain annotation guidelines for language-related AI projects.
- Conduct typological and sociolinguistic research across multiple languages.
- Evaluate linguistic outputs related to translation, speech recognition, and language generation systems.
- Perform Responsible AI language analysis, including detection of toxic language, bias, and cultural sensitivity issues.
- Review linguistic research literature and summarize findings for technical teams.
- Compare vendor deliverables and identify recurring linguistic error patterns.
- Collaborate with engineers, researchers, and native speakers across multiple languages.
- Communicate linguistic insights and analysis results to cross-functional teams.
Required Skills
- Strong written and verbal communication skills, including research and business communication.
- Native or near-native proficiency in at least one language other than English (Hindi strongly preferred).
- Proficiency in Python for data analysis.
- Experience querying databases using SQL.
- Ability to manage multiple research or analysis tasks simultaneously.
- Strong analytical thinking and attention to linguistic detail.
- Ability to work independently and manage priorities effectively.
Preferred Skills
- Experience working with low-resource languages.
- Familiarity with international language classification standards.
- Experience collaborating with machine learning engineers, NLP researchers, or data scientists.
- Background in corpus linguistics or linguistic fieldwork.
- Experience contributing to academic or technical research publications.
- Basic project management knowledge.
Education
- Master’s or PhD in Linguistics or a related field required (PhD preferred).
- Strong foundation in the following areas:
- Language typology
- Syntax and morphology
- Sociolinguistics
- Corpus linguistics
- Phonology and writing systems
- Pragmatics
Experience
- 0–3 years of relevant experience in linguistics, language data analysis, or NLP research.
- Experience working in cross-functional technical environments is beneficial.
Linguist in London employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Linguist in London
✨Network Like a Pro
Get out there and connect with people in the linguistics and AI fields! Attend meetups, webinars, or conferences where you can chat with industry professionals. You never know who might have a lead on your dream job!
✨Show Off Your Skills
When you get the chance to interview, make sure to highlight your experience with NLP systems and multilingual data. Bring examples of your work or projects that showcase your linguistic expertise and analytical skills. Let’s impress them!
✨Tailor Your Approach
Before applying, research the company and its projects. Tailor your conversations and questions to show you understand their work and how you can contribute. This will set you apart from other candidates!
✨Apply Through Our Website
Don’t forget to apply through our website for the best chance at landing that role! We’re always on the lookout for talented individuals like you, so make sure your application stands out!
We think you need these skills to ace Linguist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Linguist role. Highlight your experience with NLP systems and multilingual data, as well as any relevant projects you've worked on. We want to see how your skills align with our needs!
Show Off Your Linguistic Skills: Since this role is all about language, don’t hold back! Include examples of your linguistic analyses or any error analysis you've conducted. We love seeing your expertise in action, so let your passion for linguistics shine through.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at US Tech Solutions
✨Know Your Linguistics
Brush up on your theoretical linguistics knowledge, especially in areas like syntax, morphology, and sociolinguistics. Be ready to discuss how these concepts apply to the role and how they can enhance AI language technologies.
✨Showcase Your NLP Skills
Prepare to talk about your experience with natural language processing systems. Highlight any projects where you've used Python for data analysis or SQL for querying databases, as these skills are crucial for the role.
✨Prepare for Error Analysis
Think of examples where you've conducted error analysis on AI-generated text. Be ready to explain how you identified linguistic errors and what steps you took to address them, as this will demonstrate your analytical thinking.
✨Communicate Clearly
Since strong communication skills are essential, practice summarising complex linguistic concepts in simple terms. This will help you convey your insights effectively to cross-functional teams during the interview.