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