Intelliswift - An LTTS Company

Computational Linguist

United States

15 days ago
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Summary

Job Title: Linguist

Location: Remote

Duration: 24 months


Must-Have Skills

Perform linguistic error analysis of machine translations and identify the most frequent and severe error categories

Experience with Python - Must be able to do a Python coding exercise during the interview


Nice-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, and perform under pressure.

Able to work cross functionally.


Responsibilities:

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:

Experience

Years of experience: 0-3

Experience contributing to research papers

Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research

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

Working knowledge of international language-classification standards is valued.


Education:

A graduate degree in Linguistics or a related field is a must; a PhD is a plus

Must have a firm grasp of the linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, and phonology.

Must have some experience with applying basic Natural Language Processing techniques.

A background or specialization in corpus linguistics is a plus

Experience with field work is a plus

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