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Computational Linguist

Tailored Management

United States

Remote

USD 80,000 - 100,000

Full time

2 days ago
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Job summary

Join a forward-thinking company as a Linguist III, where you will leverage your linguistic expertise to analyze AI outputs and conduct research across multiple languages. This remote position offers a dynamic environment where you can collaborate with engineers and contribute to meaningful projects in the field of Natural Language Processing. Your skills in communication, coding, and linguistic analysis will be essential as you tackle complex challenges and enhance AI systems. If you're passionate about linguistics and eager to make an impact, this role is perfect for you.

Benefits

Medical insurance
Dental insurance
Health insurance

Qualifications

  • Graduate degree in Linguistics or related field is a must.
  • Must have a firm grasp of language typology, syntax, and morphology.

Responsibilities

  • Perform linguistic analyses on large datasets and AI model outputs.
  • Write and revise guidelines for human annotation and translation projects.

Skills

Written and spoken communication skills
Near-native proficiency in a language other than English
Python coding
SQL querying
Project management basics
Self-motivation
International language-classification standards

Education

Graduate degree in Linguistics
PhD in Linguistics
Background in corpus linguistics

Tools

Python
SQL
R

Job description

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This range is provided by Tailored Management. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $55.00/hr

Job Title: Linguist III

Location: Remote

Contract: 24 Months

Pay Rate: $55/hr W2

Benefits: Medical,Dental and Health

Job Description:

  • 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 translation projects.
  • 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 human translations 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 native speakers in various languages.
  • Communicate results of linguistic analyses to engineers and research scientists.

Skills:

  • Must have strong written and spoken communication skills, especially business and research communication.
  • Must be near-native proficient in a language other than English, more specifically a language of the following families or groups: Afro-Asiatic, Indo-Aryan, Atlantic-Congo, or Austronesian.
  • Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued.
  • Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis (e.g., R) are a plus.
  • Must be able to independently work through complex requests and perform under pressure.
  • Strong ability to work independently, prioritize, plan, and track work, as well as report progress
  • education or training in the basics of project management is a plus
  • self-motivation is a must
  • Working knowledge of international language-classification standards is valued.

Education:

  • Graduate degree in Linguistics or related field is a must; PhD is a plus
  • 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 FAIR Linguists need to be contributing to research papers)

Must Have Skills:

  • Perform linguistic error analysis of machine translations and identifying the most frequent and severe error categories
  • Perform linguistic error analysis of machine translations and identifying the most frequent and severe error categories
  • Experience with Python

Nice to Have:

  • Experience with creating and/or maintaining specialized lexical resources (e.g., profanity dictionaries) a plus
  • Ability to independently work through ambiguous requests, based on priorities established by CWAM, and perform under pressure. Able to work cross functionally.

Interviews:

  • A one-hour technical interview including linguistics questions and a Python coding exercise
  • [If technical interview is solid] A 30-to-45 minute behavioral interview to confirm that candidate will be a good fit in the company context
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Business Development, Consulting, and Administrative
  • Industries
    Software Development, Business Consulting and Services, and Staffing and Recruiting

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