Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a literature review and develop a taxonomy for AI-generated statements.
- Company: Join a cutting-edge research team focused on language models.
- Benefits: Gain hands-on experience, mentorship, and contribute to impactful research.
- Why this job: Make a real difference in AI by improving grounding in language models.
- Qualifications: PhD enrolment or completion in relevant fields and coding experience.
- Other info: Collaborate with experts and co-author an academic paper.
The intern will lead a literature review across linguistics and the philosophy of language to develop a taxonomy of grounding and support relations for AI‑generated statements. They will contribute definitions, examples, and decision rules that make the taxonomy operational for both human annotators and LLM‑as‑judge evaluators.
The intern will design a benchmark: selecting suitable source corpora (including recent groundedness datasets), constructing statement-source pairs, and writing clear annotation guidelines. They will run a human annotation study, potentially crowdsourcing. Where applicable, they will help prepare bespoke annotation tooling.
The intern will evaluate frontier models' ability to classify grounding categories and compare LLM‑as‑judge performance to human raters. They will co‑author an academic paper describing the taxonomy, dataset, and findings.
Requirements:
- Currently enrolled in or has recently completed a PhD program in human-computer interaction, natural language processing, linguistics, or philosophy of language.
- Experience in coding for research prototypes, data processing, and simple statistical analysis.
- Comfortable reviewing and engaging with interdisciplinary literature.
- High fluency in spoken and written English.
- Experience developing AI benchmarks.
- Experience in running human annotation or crowdsourcing studies.
- Experience building prototypes that leverage language model APIs.
- Experience in prompt design and engineering.
- Research publications at top conferences and journals in HCI/ML/NLP.
Research Internship: Improving Grounding in Language Models in Cambridge employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Internship: Improving Grounding in Language Models in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of linguistics and AI on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, coding prototypes, and any publications. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of grounding in language models. Be ready to discuss your thoughts on recent literature and how it relates to the role. We want to see your passion and expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Research Internship: Improving Grounding in Language Models in Cambridge
Some tips for your application 🫡
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Research Internship. Highlight your relevant experience in linguistics, philosophy of language, and any coding skills you have. We want to see how your background aligns with our needs!
Showcase Your Research Skills: Since this role involves a literature review and taxonomy development, be sure to mention any previous research projects you've worked on. We love seeing examples of your ability to engage with interdisciplinary literature and your experience in running studies.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point, especially when it comes to your contributions to past projects.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join the StudySmarter team!
How to prepare for a job interview at Microsoft
✨Know Your Stuff
Make sure you dive deep into the literature around linguistics and the philosophy of language. Familiarise yourself with key concepts related to grounding in language models, as this will show your genuine interest and understanding of the field.
✨Showcase Your Skills
Prepare to discuss your experience with coding for research prototypes and data processing. Bring examples of your previous work, especially any AI benchmarks or human annotation studies you've conducted, to demonstrate your hands-on skills.
✨Engage with Interdisciplinary Literature
Since the role involves reviewing interdisciplinary literature, be ready to talk about how you've engaged with different fields. Highlight any relevant research publications and how they relate to the position, showcasing your ability to connect diverse ideas.
✨Prepare for Practical Scenarios
Think about potential scenarios you might face in the role, like designing a benchmark or writing annotation guidelines. Be prepared to discuss your thought process and how you would approach these tasks, as practical problem-solving is key in this internship.