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Linguist - AI & Multilingual Research - Fluency in a Dravidian or Bantu Dialect

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Linguist - AI & Multilingual Research - Fluency in a Dravidian or Bantu Dialect
We're looking for a research-level Linguist to join a world-class AI research environment, working at the intersection of theoretical linguistics, multilingual AI and Natural Language Processing. This is an opportunity to apply deep linguistic expertise to cutting-edge AI research - analysing model outputs, building evaluation datasets and helping improve how advanced AI systems understand languages, dialects and cultural nuances at global scale. The team works across massively multilingual and low-resource settings, collaborating closely with research scientists, machine learning engineers and data scientists.
The Offer:
- Competitive salary of £81,000 pa
- Role to start on a contract until December 2027
- Fully remote working within the UK
What you'll be doing
- Analyse large linguistic datasets and AI model outputs, identifying frequent and severe linguistic errors.
- Build, refine and test evaluation and challenge datasets covering translation, linguistic reasoning, spontaneous speech, debate, tutoring and pronoun resolution.
- Conduct typological, sociolinguistic and corpus-based research across a broad range of languages.
- Support Responsible AI research, analysing areas such as toxic language, hate speech, gender bias and cultural bias.
- Develop clear annotation and translation guidelines for human annotators.
- Use Python, pandas and SQL to analyse datasets and support research workflows.
- Work directly with research scientists, ML/NLP engineers and data scientists, translating complex linguistic findings into actionable insights.
- Evaluate linguistic vendor outputs, identify error patterns and provide actionable quality feedback.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we're looking for
- Completed PhD in Linguistics or a closely related field - the PhD must be fully completed, not currently in progress.
- Deep research-level knowledge of general/theoretical linguistics, particularly typology, syntax, morphology, sociolinguistics, corpus linguistics, pragmatics, phonology and writing systems.
- Python is essential - you should be comfortable reading, modifying and executing data-science notebooks, including working with tools such as pandas.
- Ability to query databases using SQL.
- Native or near-native English plus native/near-native proficiency in a Dravidian or Bantu language; Swahili is particularly valuable. Other low-resource language expertise is highly regarded.
- Experience applying basic NLP techniques and ideally collaborating with ML, NLP, software engineering or data-science teams.
- Strong research and business communication skills, with the ability to explain linguistic findings clearly to highly technical stakeholders.
- Comfortable working independently through complex and ambiguous research problems in a fast-moving environment.


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The hiring team has specifically highlighted three non-negotiable areas: research-level theoretical linguistics, strong cross-functional communication/independent project delivery, and hands-on Python capability.
Why this role?
You'll have the opportunity to contribute to frontier AI research, tackling linguistic problems that go far beyond standard translation or localisation. The work spans complex linguistic reasoning, spontaneous speech, multilingual evaluation and cultural nuance, alongside scientists and engineers working on advanced machine-learning research. This would particularly suit a Linguistics PhD who wants to take rigorous academic linguistic expertise into applied AI research, while remaining deeply involved in language research rather than moving into a purely software-engineering role.
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