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Linguist - Ph.D.

SGS ConsultingUnited States🇺🇸United StatesPosted 15 Sept 2026

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

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
Machine LearningNLPLLMPython

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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