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- Tasks: Support multilingual AI research by analysing language data and improving language technologies.
- Company: Join US Tech Solutions, a global leader in talent solutions with a diverse workforce.
- Benefits: Gain valuable experience in AI, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on AI language technologies while collaborating with experts in the field.
- Qualifications: Master’s or PhD in Linguistics, strong NLP skills, and proficiency in Python and SQL.
- Other info: Ideal for linguistics enthusiasts looking to work in a dynamic, cross-functional environment.
The predicted salary is between 28800 - 43200 £ per year.
Duration: Until December 2026
About the Role
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 summarise 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 with basic Natural Language Processing (NLP) techniques is required.
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 employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Linguist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and linguistics. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your linguistic analyses, projects, or any relevant work you've done with NLP systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to computational linguistics and NLP. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Linguist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your linguistic expertise and experience with NLP systems. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about linguistics and how you can contribute to our multilingual AI research projects. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Since this role involves working with Python and SQL, make sure to mention any relevant experience you have with these tools. We’re keen to see how you’ve applied them in past projects, especially in relation to language data analysis.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 real-world scenarios, particularly in relation to multilingual datasets and AI 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. Specific examples will help demonstrate your technical prowess.
✨Error Analysis Expertise
Be prepared to discuss your approach to error analysis of AI-generated text. Think of examples where you identified critical linguistic errors and how you communicated these findings to cross-functional teams. This shows your analytical thinking and attention to detail.
✨Cultural Sensitivity Matters
Since the role involves responsible AI language analysis, be ready to discuss how you would detect toxic language, bias, and cultural sensitivity issues. Share any relevant experiences or research that highlight your understanding of these important aspects in linguistics.