Linguist (AI & Language Research)

Job Description

Job Title: Linguist (AI & Language Research)

\n

Location: Remote (United States)

\n

Preferred: West Coast Candidates

\n

Duration: 4 Months to start with

\n

\n

\n
• Must have a PhD in Linguistics
\n
• Must have near-native or native bilingual proficiency in a language other than English, more specifically a language of the following families or groups: Dravidian or Indo-Aryan. Dravidian is more of a focus and being fluent in both 1 Dravidian and 1 Indo-Aryan language is the best profile.
\n

\n

\n

We are seeking a highly motivated Linguist to support advanced AI and language research initiatives. This role combines linguistic expertise, multilingual analysis, research methodology, and data-driven evaluation of AI-generated content. The ideal candidate will possess a strong background in theoretical linguistics, experience working with language data, and proficiency in Python.

\n

\n

This position is well suited for early-career researchers looking to apply their linguistic expertise to large-scale multilingual AI systems.

\n

\n

Basic Qualifications

\n

\n
• PhD in Linguistics required (Theoretical Linguistics strongly preferred).
\n
• 0 to 3 years of professional or academic experience.
\n
• Near-native or native bilingual proficiency in at least one Dravidian or Indo-Aryan language.
\n
• Strong written and verbal communication skills.
\n
• Proficiency in Python.
\n
• Ability to work independently, manage priorities, and handle ambiguous research requests.
\n
• Strong analytical and pattern-recognition skills.
\n

\n

\n

Preferred Qualifications

\n

\n
• Fluency in both a Dravidian and an Indo-Aryan language.
\n
• Experience with corpus linguistics, language documentation, or fieldwork.
\n
• Experience collaborating with machine learning, NLP, or data science teams.
\n
• Familiarity with SQL.
\n
• Experience contributing to academic research publications.
\n
• Knowledge of language typology, syntax, morphology, sociolinguistics, pragmatics, phonology, and writing systems.
\n
• Experience creating or maintaining lexical resources such as dictionaries or terminology databases.
\n
• Familiarity with basic Natural Language Processing (NLP) techniques.
\n

\n

\n

Responsibilities

\n

\n
• Perform linguistic analysis on large multilingual datasets.
\n
• Conduct linguistic error analysis of machine-generated translations and identify recurring error patterns.
\n
• Develop, maintain, and revise annotation guidelines for language-related projects.
\n
• Conduct typological, sociolinguistic, and comparative language research.
\n
• Evaluate language quality, translation accuracy, and linguistic consistency across languages.
\n
• Research and summarize findings from academic literature related to language technologies.
\n
• Collaborate with linguists, engineers, researchers, and cross-functional stakeholders.
\n
• Support responsible AI initiatives through analysis of language bias, toxicity, and cultural considerations.
\n
• Create reports and communicate research findings to technical and non-technical audiences.
\n
• Collaborate with native speakers and language experts across various language groups.
\n

\n

\n

Required Language Background

\n

\n
• Candidates must have native or near-native proficiency in one or more languages from the following language families:
\n
• Dravidian Languages (Preferred) and Indo-Aryan Languages:
\n

\n