Linguist

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Conduct linguistic analysis on extensive datasets.

• Execute linguistic error evaluations of AI model outputs and pinpoint common and significant error categories.

• Draft and refine guidelines for human annotation and various AI initiatives, including translation tasks.

• Engage in typological and sociolinguistic research across diverse languages.

• Examine toxic language, hate speech, gender bias, and other cultural prejudices for Responsible AI in multilingual contexts.

• Perform literature reviews on linguistics related to NLP topics and summarize the findings.

• Evaluate vendor delivery quality, recognize error trends, and offer actionable feedback.

• Offer expertise on linguistic subjects, including typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, and pragmatics.

• Collaborate with native speakers of various languages.

• Convey the results of linguistic analyses to engineers and research scientists.

⛳️ Requirements

• Near-native or native fluency in a language other than English, particularly from the Dravidian or Bantu families/groups; proficiency in Swahili is advantageous.

• Near-native or native proficiency in English.

• Proficiency in coding with Python is required.

• Ability to query databases using SQL is necessary.

• Capable of independently navigating complex requests and thriving under pressure.

• Strong ability to work autonomously, prioritize tasks, plan, track progress, and report updates.

• Self-motivation is essential.

• Familiarity with international language-classification standards is preferred.

• A completed PhD in Linguistics or a related field is mandatory, not in progress.

• A solid understanding of language typology, syntax, morphology, sociolinguistics, corpus linguistics, writing systems, pragmatics, and phonology is necessary.

• Some experience with fundamental Natural Language Processing techniques is required.

• 0–3 years of relevant experience.

• Experience in cross-functional collaboration is essential.

• Background in collaborating with machine learning, NLP, or software engineers, or data scientists is valuable.

• Experience in contributing to research papers is preferred.

• Ideally, no known conflicts of interest in machine translation, ASR, TTS, or LLM research.

• A graduate degree in Literature or English is not an acceptable substitute.

• A degree in Computer Science with a focus on NLP is not an acceptable substitute.

🏝️ Benefits

• Competitive salary.

• Contribution to healthcare costs.

• Enrollment in the company pension scheme.

• Provision of a work laptop and phone.

• 25 days of annual leave (pro-rata) in addition to paid bank holidays.

• Opportunities for career advancement for top performers.