Data Analysis - Linguist

Role: Linguist Type: UK (Remote) Duration: Until 31/12/2026 Main duties: Perform linguistic analyses on large datasets. Perform linguistic error analysis of AI model outputs, determining what the most frequent and severe error categories are. Write and revise guidelines for human annotation and other AI projects, including but not limited to translation tasks. Conduct typological and sociolinguistic research on a large number of languages, highlighting their similarities and differences. Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings. Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings. Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.). Must have: Near-native or native proficiency in a language other than English, more specifically a language of the following families or groups: Dravidian or Bantu (Swahili is a plus); Near-native or native proficiency in English. Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus. Education: PhD in Linguistics or related field is a must be finished (not in progress) a background or specialization in corpus linguistics is a plus Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, phonology. Must have some experience with applying basic Natural Language Processing techniques.