Why This Role Stands Out
Leverage your Ph.D. in Linguistics to conduct cutting-edge research on AI bias and multilingual datasets, contributing to impactful Responsible AI initiatives within a reputable consulting firm. This hybrid role offers a fantastic opportunity for intellectual growth and collaboration with engineers and scientists, perfect for a candidate eager to apply deep linguistic knowledge to real-world challenges. Apply today to explore this exciting career path!
Quick Overview
Job Description
Main duties:
- 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 other AI projects, including but not limited to translation tasks.
- 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.
- Compare the quality of deliveries between vendors, 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 speakers in various languages.
- Communicate results of linguistic analyses to engineers and research scientists.
Education:
- PhD Graduate degree in Linguistics or related field is a must.
- a background or specialization in corpus linguistics is a plus
- experience with field work is a plus
- a 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
- 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
- Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as Linguists need to be contributing to research papers)
Top 3 must-have HARD skills:
- Solid grasp of General Linguistics theory at the research level.
- Cross-functional communication and project management.
- Experience with Python.
Must have bilingual proficiency in a language from the following families or groups, as well as near-proficiency in English:
- Central Philippine (esp. Filipino, Tagalog, Cebuano).
- Tai-Kadai (esp. Thai, Lao).
- Bantu (esp. Swahili).
- Northwestern Semitic (esp. Hebrew), Ethiosemitic.
Good to have skills:
- Experience with creating and/or maintaining specialized lexical resources (e.g., profanity dictionaries) is a plus.
- Ability to independently work through ambiguous requests, based on priorities established by manager, and perform under pressure. Able to work cross functionally.
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