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Linguistic Research Analyst Jobs (NOW HIRING)

Linguist III

PR ยท Remote

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 ...

Communicate results of linguistic analyses to engineers and research scientists. Skills: * Must have strong written and spoken communication skills, especially business and research communication.

Research Intern

New York, NY ยท On-site

$300K - $500K/yr

Currently enrolled in a PhD program in Computer Science, Statistics, or Linguistics * Research ... analyzing data, and surfacing insight for the people who do this work at the highest level. We're a ...

Identify and manage IT sourcing initiatives and opportunities through data analysis to identify ... Our technology is built on more than 30 years of linguistic research and is integrated with both ...

Currently enrolled in a PhD program in Computer Science, Statistics, or Linguistics * Research ... analyzing data, and surfacing insight for the people who do this work at the highest level. We're a ...

... Analytics platform based Monday-Friday on site in our development office in New Hope, PA ... Our technology is built on more than 30 years of linguistic research and is integrated with both ...

Conducts open-source collection and language-enabled research in support of audience analysis ... Collaborates with analysts, planners, and operators to identify linguistic or cultural gaps in ...

Linguist

Tampa, FL ยท On-site

Conducts open-source collection and language-enabled research in support of audience analysis ... Collaborates with analysts, planners, and operators to identify linguistic or cultural gaps in ...

Showing results 21-40

Linguistic Research Analyst information

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$38.5K

$74K

$99.5K

How much do linguistic research analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for linguistic research analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a linguistic research analyst do?

A Linguistic Research Analyst studies language patterns, structures, and usage to understand how people communicate. Their work often involves analyzing spoken or written language data, conducting research on language trends, and providing insights for applications such as artificial intelligence, language teaching, or translation technologies. They may work with large datasets, use specialized linguistic software, and collaborate with other professionals to solve language-related problems. This role is common in academia, tech companies, and government agencies.

What skills and qualifications are needed to thrive as a linguistic research analyst?

To thrive as a Linguistic Research Analyst, you need expertise in linguistics, data analysis, and research methodologies, often supported by a degree in linguistics or a related field. Familiarity with corpus analysis tools, statistical software (such as R or Python), and linguistic databases is typically required. Strong analytical thinking, attention to detail, and effective written communication skills help distinguish top performers in this role. These competencies are vital for accurately analyzing language data, producing insightful research, and effectively communicating findings to stakeholders.

How does a linguistic research analyst typically collaborate with other departments in a research organization?

Linguistic Research Analysts often work closely with interdisciplinary teams, including data scientists, software engineers, and subject matter experts, to analyze language data and develop language-related solutions. They may contribute linguistic expertise during project planning, assist with dataset creation or annotation, and help interpret results from computational models. Effective communication and the ability to translate linguistic insights for non-specialists are crucial, as these collaborations often drive the success of language technology projects.

What is the difference between Linguistic Research Analyst vs Language Data Specialist?

AspectLinguistic Research AnalystLanguage Data Specialist
Required CredentialsBachelor's or Master's in Linguistics, Language Studies, or related fieldBachelor's in Linguistics, Data Science, or related field
Work EnvironmentResearch labs, academic institutions, tech companiesData centers, tech firms, language technology companies
Employer & Industry UsageUniversities, research organizations, language tech companiesAI companies, speech recognition firms, language service providers
Common Search & ComparisonYesYes

While both roles involve working with language data, a Linguistic Research Analyst primarily conducts research to analyze language patterns and develop linguistic models. In contrast, a Language Data Specialist focuses on managing, annotating, and preparing language datasets for technological applications. Both roles require strong linguistic skills, but their focus areas and work environments differ.

Are linguistics jobs in demand?

Linguistic research analyst roles are in demand in fields such as technology, healthcare, and education, where language data analysis and natural language processing are essential. Employment opportunities are expected to grow as organizations increasingly rely on linguistic expertise for AI development, translation, and communication systems.

How to become a linguistic research analyst?

To become a linguistic research analyst, typically a bachelor's degree in linguistics, language studies, or a related field is required, often complemented by skills in data analysis, research methods, and proficiency with tools like statistical software. Gaining experience through internships or research projects and developing strong analytical and communication skills are also important for entry into the field.
More about Linguistic Research Analyst jobs
Infographic showing various Linguistic Research Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

Full-time

Re-posted 16 days ago


Job description

Job Title: Infrastructure Engineering - Linguist III
Location: US - NY - Remote
Duration:8 months
Job Title: Linguist lII (FAIR)
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 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 a native speaker of a non-English language (preferably Hindi) with a high level of proficiency in another Indo-Aryan or South Dravidian language, plus broad knowledge of other languages in either of those two groups.
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 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)