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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Perform linguistic analyses on large datasets
- Perform linguistic error analysis of AI model outputs and determine frequent and severe error categories
- Write and revise guidelines for human annotation and other AI projects, including translation tasks
- Conduct typological and sociolinguistic research across many languages, identifying similarities and differences
- Perform linguistic analyses for Responsible AI, including toxic language, hate speech, gender bias, and other cultural biases in multilingual settings
- Conduct linguistic literature reviews on NLP-adjacent topics and summarize findings
- Compare vendor delivery quality, identify error patterns, and provide actionable feedback
- Provide guidance on linguistic topics including typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, and pragmatics
- Reach out to and collaborate with native speakers in various languages
- Communicate linguistic analysis results to engineers and research scientists
Requirements
What you’ll need- Strong written and spoken communication skills, especially business and research communication
- Near-native or native proficiency in a language other than English, specifically a language from the Dravidian or Bantu families/groups; Swahili is a plus
- Near-native or native proficiency in English
- Working knowledge of other languages is a plus; proficiency in a low-resource language is valued
- Must be able to code in Python
- Must be able to query databases using SQL
- Other coding languages used for data analysis are a plus
- Ability to independently work through complex requests and perform under pressure
- Strong ability to work independently, prioritize, plan, track work, and report progress
- Education or training in the basics of project management is a plus
- Self-motivation is required
- Working knowledge of international language-classification standards is valued
- Completed PhD in Linguistics or a related field; must not be in progress
- Background or specialization in corpus linguistics is a plus
- Experience with field work is a plus
- Graduate degree in Literature or English is not an appropriate substitution
- Degree in Computer Science with a specialization in NLP is not an appropriate substitution
- Firm grasp of language typology, syntax, morphology, sociolinguistics, corpus linguistics, writing systems, pragmatics, and phonology
- Some experience applying basic Natural Language Processing techniques
- 0–3 years of experience
- Experience working cross-functionally
- Experience collaborating with machine learning, NLP, or software engineers, or data scientists
- Experience contributing to research papers
- Preferably no known conflicts of interest in machine translation, ASR, TTS, or LLM research
Benefits
Comp & perks- Competitive salary
- Healthcare contribution
- Inclusion in company pension scheme
- Work laptop and phone
- 25 days annual leave (pro-rata)
- Paid bank holidays
- Potential for career progression for top performers