Linguist II
Location: London
Length: 11 Months
Rate: From £ p/h PAYE
Hours: 9am-6pm
Req: 51474
This client is a top 5 tech giant and owner of some of the world’s most popular social media platforms and instant messaging apps, connecting billions of people across the globe.
Job description:
• 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.
• Analyse the quality of vendor deliveries, 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 English communication skills, especially business and research communication.
• Must be at a level of native or near-native proficiency (CEFRL C2) in a language other than English.
• Working knowledge in additional languages is a plus. Proficiency in a low-resource or under-represented language is valued.
• Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis (, 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 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:
• Graduate degree in Linguistics or related field is a must
? a graduate degree in Literature or English is not an appropriate substitution
? 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.
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
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