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Computational Linguist

SGS ConsultingUnited States🇺🇸United StatesPosted 11 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Must Have:

  • Master's degree or Ph.D. in Linguistics or a directly related field is required.
  • 0 5 years of relevant experience.
  • Fluent in English, with C1 C2 level proficiency in at least one additional language.

Responsibilities:

  • Aggregate cross-functional requests and translate requests into actionable, high quality, datasets via synthetic data collections and on live user traffic.
  • Deliver analytics, statistics, and model performance results on datasets.
  • Design and conduct experiments for evaluating rater quality, inter-rater reliability; write summary reports based on findings and speak on those findings in meetings.
  • Develop manual and automated processes for multiple concurrent projects ensuring high-quality labeled data.
  • Create and perfect LLM Quality grading queues and LLM related component quality error attribution grading queues.
  • Build datasets and write guidelines in rapid fashion for new and emergent LLM data rating, creation, and annotation needs.
  • Analyze system metrics such as factuality, brevity, coherence, as well as subcomponent performance, summarize findings, and communicate results.

Skills:

  • Basic Python, basic SQL with strong desire to grow required for this position. Intermediate level preferred.
  • Basic knowledge of linguistics (some of Phonetics, Syntax, Semantics, Dialectology) required.
  • Ability to analyze numerical rating results and draw conclusions based on data.
  • Basic stats / math for data analysis.
  • Written and oral communication skills necessary for communicating on project milestones and for reporting findings .

Education/Experience:

  • Bachelor s degree in Linguistics, Computational Linguistics, Speech Science, or related field OR graduate degree in linguistics OR industry similar experience required.
  • Master s degree or beyond preferred OR equivalent industry experience.
  • Additional learning via Coursera, Udemy, or other online resources is great too.

Must-Have Skills:

  • Data Annotation.
  • SQL Python.
  • Linguistic Background.

Nice-to-have Skills:

  • Computational Linguistics (Master's preferred).
  • Statistics & Data Science.

Years of Experience:

  • 2-4 Years of experience

Skills

SQL
LLM
Python

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