Infrastructure Engineering - Linguist III

Perform linguistic analyses on large datasets, including linguistic error analysis of AI model outputs to identify frequent and severe error categories. Write and revise guidelines for human annotation and AI projects (e.g., translation tasks). Conduct typological and sociolinguistic research across many languages, highlighting similarities and differences. Evaluate Responsible AI aspects (toxic language, hate speech, gender bias, and cultural biases) in massively multilingual settings. Conduct literature reviews in NLP-adjacent topics and summarize findings. Compare quality of deliveries between vendors, identify error patterns, and provide actionable feedback. Provide guidance on linguistic knowledge (typology, morpho-syntax, sociolinguistics, corpus linguistics, writing systems, pragmatics, phonology) and reach out to collaborate with native speakers in various languages. Communicate results to engineers and research scientists.