Linguist

This is a remote position. Our client is looking for a Linguist to join their team. Duration - End of 2026 Location - UK Remote Responsibilities : • 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. • Compare the quality of deliveries between vendors, identify error patterns, and provide actionable feedback. • Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.). • Reach out to and collaborate with native speakers in various languages. • Communicate results of linguistic analyses to engineers and research scientists. Requirements Skills: • Must have strong written and spoken communication skills, especially business and research communication. • 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. • Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued. • Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus. • Must be able to independently work through complex requests and perform under pressure. • Strong ability to work independently, prioritize, plan, and track work, as well as report progress • education or training in the basics of project management is a plus • self-motivation is a must • Working knowledge of international language-classification standards is valued. Education: • PhD in Linguistics or related field is a must be finished (not in progress) • a background or specialisation in corpus linguistics is a plus • experience with field work is a plus • a graduate degree in Literature or English is not an appropriate substitution • degree in Computer Science with a specialisation in NLP is not an appropriate substitution • 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. Experience • Years of experience: 0-3 • Experience working cross-functionally • Experience collaborating with machine learning, NLP, or software engineers, or data scientists • Experience contributing to research papers • Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as FAIR Linguists need to be contributing to research papers) Benefits • Competitive salary • Healthcare contribution and inclusion in company pension scheme • Work laptop and phone • 25 days annual leave (pro-rata) plus paid bank holidays • Expanding workforce with potential for career progression for top performers. Originally posted on Himalayas