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Graduate Linguist Jobs (NOW HIRING)

Linguist III

PR · Remote

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 ...

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 ...

Linguist - Hawaiian - Remote

Honolulu, HI · Remote

$34 - $36.25/hr

A recognized graduate qualification in translation, linguistics, or language studies. * Or a recognized graduate qualification in any other field plus two years of full-time professional translation ...

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Graduate Linguist information

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How much do graduate linguist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for graduate linguist in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

Where can a graduate of linguistics work?

A graduate of linguistics can work in fields such as language teaching, translation and interpretation, computational linguistics, speech therapy, and research. They may find employment in educational institutions, tech companies developing language processing tools, government agencies, or healthcare settings. Skills in analysis, communication, and familiarity with language technologies are often required.

What are the typical projects and collaborations a Graduate Linguist can expect in their first year on the job?

As a Graduate Linguist, you’ll often work on projects involving language data analysis, annotation, and research to support linguistic products or technologies. You can expect to collaborate closely with data scientists, software engineers, and other linguists, contributing your expertise to tasks like developing language models, curating language resources, or testing language-based software. This role frequently requires balancing independent research with team-based initiatives, and you’ll likely participate in meetings to discuss project goals, challenges, and deliverables. Over time, you may take on more responsibility in project management or technical specialization, depending on your interests and the organization’s needs.

What are the key skills and qualifications needed to thrive as a Graduate Linguist, and why are they important?

To thrive as a Graduate Linguist, you typically need a solid academic background in linguistics or language studies, analytical thinking, and strong research abilities. Familiarity with linguistic analysis software, corpus tools, and sometimes programming languages like Python or R is often advantageous. Excellent written and verbal communication, adaptability, and attention to detail are important soft skills in this role. These competencies enable Graduate Linguists to conduct precise linguistic research, contribute to language projects, and communicate findings effectively.

Is there a demand for linguists?

The demand for linguists remains steady across various sectors such as government, technology, and healthcare, especially for those with skills in translation, interpretation, and computational linguistics. Employment opportunities are often influenced by language specialization, advanced degrees, and proficiency with tools like speech recognition software or language databases.

What can you do with a graduate degree in linguistics?

A graduate degree in linguistics qualifies individuals for roles such as linguist, language analyst, speech-language pathologist, or language technology specialist. These positions often involve research, language analysis, developing language models, or working in education, government, or tech industries. Skills in data analysis, phonetics, syntax, and language software are commonly utilized in these careers.

What are graduate linguists?

Graduate linguists are individuals who have completed an advanced degree in linguistics, typically at the master's or doctoral level. They possess specialized knowledge in the scientific study of language, including its structure, history, and use. Graduate linguists often engage in research, teaching, translation, language documentation, or work in technology fields such as natural language processing. Their expertise allows them to analyze languages, create language resources, and contribute to various interdisciplinary projects.

What jobs in the US pay 300,000 a year?

Graduate linguists typically do not earn $300,000 annually; high-paying roles in linguistics or related fields such as language technology, executive roles, or specialized consulting can reach that level. Achieving such salaries often requires extensive experience, advanced degrees, or leadership positions in industries like tech, finance, or law. Most roles with this compensation involve significant responsibility and expertise beyond entry-level positions.
What cities are hiring for Graduate Linguist jobs? Cities with the most Graduate Linguist job openings:
What states have the most Graduate Linguist jobs? States with the most job openings for Graduate Linguist jobs include:
What job categories do people searching Graduate Linguist jobs look for? The top searched job categories for Graduate Linguist jobs are:
Linguist III

Other

Posted 13 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)