语言学家

This is a remote position.
Our client is looking fora Linguistto join their team.Duration - End of 2026Location - 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