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For Companies At a Glance
- Tasks: Analyse multilingual datasets and improve AI language technologies.
- Company: Join a global staff augmentation firm with a focus on innovation.
- Benefits: Gain valuable experience in a dynamic, collaborative environment.
- Why this job: Make a real impact on AI language research and technology.
- Qualifications: Master’s or PhD in Linguistics; strong analytical and communication skills.
- Other info: Opportunity to work with diverse teams and advance your career.
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 Reading employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Linguist in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your linguistic expertise. Be ready to discuss your experience with NLP systems and how you've tackled language-related challenges in the past.
✨Tip Number 3
Showcase your skills through a portfolio! If you’ve worked on any projects involving language analysis or AI, make sure to highlight them. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Linguist in Reading
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 necessary. We appreciate a well-structured application that’s easy to read and understand.
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 shows you’re keen on joining our team at StudySmarter!
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.