Linguist
Approx. £63,000 (Plus Benefits) | Remote, UK
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 translation projects. 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 human translations 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.
Skills:
- Must have strong written and spoken communication skills, especially business and research
- communication.
- Must be at least near-native proficient in a language other than 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 (e.g., R) 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 progresseducation 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:
A graduate degree in Linguistics or related field is a must; PhD is a plus
- Graduate degree in Literature or English is not an appropriate substitution
- Background or specialization in child language acquisition is a must
- Background or specialization in corpus linguistics is a plus
- Experience with field work 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.
- Experience working cross-functionally
- Experience collaborating with machine learning, NLP, or software engineers, or data scientists
- Experience contributing to research papers
