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- Tasks: Dive into linguistic analysis and enhance AI language models with your expertise.
- Company: Join a cutting-edge team focused on AI and multilingual research.
- Benefits: Enjoy collaborative work, flexible hours, and the chance to impact AI technology.
- Why this job: Perfect for linguistics enthusiasts eager to shape the future of language processing.
- Qualifications: Must have a background in linguistics, Python & SQL skills, and NLP experience.
- Other info: Apply by February 20th; quick responses for shortlisted candidates!
The predicted salary is between 28800 - 48000 £ per year.
About the Role:
We are seeking a Linguist with expertise in linguistic analysis, AI model evaluation, and multilingual data research. This role involves conducting in-depth linguistic studies, analysing AI-generated text outputs, and collaborating with research scientists and engineers to enhance language models.
If you have a strong academic background in Linguistics, proficiency in Python & SQL, and experience in Natural Language Processing (NLP) or Responsible AI, this could be the perfect role for you!
Key Responsibilities:
- Perform linguistic error analysis on AI model outputs, identifying key error patterns.
- Conduct typological and sociolinguistic research across multiple languages.
- Assess human translations for quality, identifying errors and providing feedback.
- Analyse linguistic trends related to Responsible AI, including bias detection (gender, cultural, and hate speech analysis).
- Perform linguistic literature reviews on NLP-related topics and summarise findings.
- Provide linguistic expertise across multiple areas, including morphosyntax, phonetics, discourse analysis, and corpus linguistics.
- Work closely with engineers, data scientists, and NLP researchers to improve AI language models.
- Develop and revise annotation/translation guidelines for human linguistic projects.
- Engage with native speakers and multilingual research communities to validate findings.
Required Skills & Experience:
- Specialisation in child language acquisition is required.
- Background in corpus linguistics or fieldwork is a plus.
- Proficiency in Python & SQL (experience in R is a plus).
- Experience with NLP and data analysis techniques.
- Familiarity with language classification standards and multilingual datasets.
- Strong understanding of language typology, syntax, morphology, sociolinguistics, pragmatics, and phonology.
- Near-native proficiency in at least one language other than English (low-resource languages highly valued).
- Strong written and verbal communication skills, particularly in research and business contexts.
- Ability to work independently, manage multiple tasks, and communicate findings effectively.
- Experience working cross-functionally with NLP researchers, machine learning engineers, or software developers.
Please note, this role is available until Thursday 20th Feb. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually. If you have not received a response within 48 hours of your application, please assume that you have not been selected for progression to the next stage of the hiring process.
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Linguist employer: Aquent GmbH
Contact Detail:
Aquent GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Linguist
✨Tip Number 1
Make sure to showcase your expertise in linguistic analysis and AI model evaluation during the interview. Prepare specific examples of past projects where you conducted error analysis or worked with NLP techniques, as this will demonstrate your hands-on experience.
✨Tip Number 2
Familiarize yourself with the latest trends in Responsible AI and bias detection. Being able to discuss current issues and solutions in these areas will show that you are not only knowledgeable but also passionate about the field.
✨Tip Number 3
Engage with multilingual research communities online. Networking with professionals in the field can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on small projects or contributing to open-source initiatives that involve data analysis or NLP to strengthen your technical proficiency.
We think you need these skills to ace Linguist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your expertise in linguistic analysis, AI model evaluation, and any experience you have with Natural Language Processing (NLP). Tailor your CV and cover letter to showcase how your background aligns with the key responsibilities of the role.
Showcase Technical Skills: Clearly outline your proficiency in Python and SQL. If you have experience with R or other data analysis techniques, mention those as well. Providing specific examples of projects where you've utilized these skills can strengthen your application.
Demonstrate Multilingual Proficiency: Since the role values near-native proficiency in languages other than English, be sure to highlight your language skills. Mention any low-resource languages you are familiar with, as this will make your application stand out.
Communicate Effectively: Given the importance of strong written and verbal communication skills in this role, ensure that your application materials are well-written and free of errors. Use clear and concise language to convey your findings and experiences.
How to prepare for a job interview at Aquent GmbH
✨Showcase Your Linguistic Expertise
Be prepared to discuss your academic background in Linguistics and any relevant projects you've worked on. Highlight your specialization in child language acquisition and how it relates to the role.
✨Demonstrate Technical Proficiency
Make sure to mention your experience with Python and SQL, as well as any familiarity with NLP techniques. Be ready to provide examples of how you've used these skills in previous roles or projects.
✨Discuss Collaboration Experience
Since this role involves working closely with engineers and data scientists, share specific examples of past collaborations. Emphasize your ability to communicate findings effectively across different teams.
✨Prepare for Linguistic Analysis Questions
Expect questions related to linguistic error analysis and bias detection in AI outputs. Brush up on key concepts in morphosyntax, phonetics, and sociolinguistics to demonstrate your depth of knowledge.
