Linguist

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

📋 Description

• Conduct linguistic analyses on extensive datasets.

• Analyze linguistic errors in AI model outputs and pinpoint recurring and significant error categories.

• Develop and refine guidelines for human annotation and various AI projects, including translation tasks.

• Engage in typological and sociolinguistic research across a multitude of languages, emphasizing both similarities and differences.

• Execute linguistic analyses for Responsible AI, addressing issues such as toxic language, hate speech, gender bias, and other cultural biases in highly multilingual environments.

• Perform literature reviews in linguistics on topics related to NLP and summarize the insights gained.

• Assess vendor delivery quality, identify error patterns, and offer constructive feedback.

• Provide expertise on linguistic knowledge encompassing typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, and pragmatics.

• Collaborate with and reach out to native speakers across various languages.

• Present findings from linguistic analyses to engineers and research scientists.

⛳️ Requirements

• Excellent written and verbal communication skills, particularly in business and research contexts.

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

• Near-native or native proficiency in English.

• Familiarity with additional languages is beneficial.

• Proficiency in a low-resource language is highly regarded.

• Proficient in Python coding.

• Capable of querying databases using SQL.

• Experience with other programming languages for data analysis is a plus.

• Ability to navigate complex requests and perform well under pressure.

• Strong capacity for independent work, prioritizing tasks, planning, tracking progress, and reporting updates.

• Education or training in project management is advantageous.

• Self-motivation is essential.

• Familiarity with international language-classification standards is valued.

• A completed PhD in Linguistics or a related discipline is required; enrollment in a program is not acceptable.

• A graduate degree in Literature or English does not qualify as a substitute.

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

• Strong understanding of language typology, syntax, morphology, sociolinguistics, corpus linguistics, writing systems, pragmatics, and phonology.

• Some experience in applying fundamental Natural Language Processing techniques.

• 0–3 years of relevant experience.

• Experience in cross-functional collaboration.

• Experience working with machine learning, NLP, or software engineers, or data scientists.

• Contributions to research publications are preferred.

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

🏝️ Benefits

• Competitive salary.

• Healthcare contribution.

• Inclusion in the company pension scheme.

• Provision of a work laptop and phone.

• 25 days of annual leave (pro-rata).

• Paid bank holidays.

• Opportunities for career advancement for top performers.