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  • Location: London, Greater London, United Kingdom
  • Type: Temporary
  • Job #25103

Our client is on the lookout for a is seeking a skilled Linguist to join their team. As a Linguist, you will be responsible for performing linguistic analyses on large datasets, conducting typological and sociolinguistic research on a large number of languages, and analysing the quality of vendor deliveries.

Based in London, our client is renowned for their continuing advancements in online technologies that have changed the world. An ambitious, fast-paced forward-thinking company with a very creative culture.

Location: London – UK
Type: Remote within the UK
Duration: 12 months
Visa sponsorship: No
Job Reference: BBBH 25103


  • Conduct linguistic analyses on extensive datasets.
  • Perform error analysis of AI model outputs, identifying prevalent and significant error categories.
  • Develop and refine guidelines for human annotation and translation projects.
  • Engage in typological and sociolinguistic research across numerous languages, emphasizing commonalities and distinctions.
  • Execute linguistic analyses for Responsible AI in highly multilingual environments, addressing issues such as toxic language, hate speech, and cultural biases.
  • Conduct comprehensive literature reviews on NLP-related subjects and synthesize key findings.
  • Assess the quality of vendor deliveries, pinpointing error trends, and offering practical feedback.
  • Offer expertise on various aspects of linguistic knowledge (typology, morpho-syntax, sociolinguistics, etc.).
  • Collaborate with native speakers across different languages.
  • Communicate findings from linguistic analyses effectively to engineers and research scientists.


  • Degree in Linguistics or Translation degree with focus on Linguistics
  • Must be at a level of native or near-native proficiency (CEFRL C2) in a language other than English.
  • Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis (e.g., R) are a plus.
  • Experience collaborating with machine learning, NLP, or software engineers, or data scientists.

Beneficial but not a must:

  • Working knowledge in additional languages is a plus. Proficiency in a low-resource or under-represented language is valued.
  • Experience contributing to research papers.

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