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Linguistics Degree Jobs (NOW HIRING)

Apex Informatics

Linguist III

Master's degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field REQUIRED. • Master's degree in general ...

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How much do linguistics degree jobs pay per year?

As of Aug 27, 2026, the average yearly pay for linguistics degree 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.

What can you do with a linguistics degree?

A linguistics degree opens up a wide range of career opportunities across various fields. Graduates can work in areas such as education, research, language technology, translation, publishing, and communications. Some pursue roles as language analysts, lexicographers, speech therapists, or computational linguists, while others use their skills in government or nonprofit organizations. The analytical, communication, and problem-solving skills gained in a linguistics program are highly valued in many sectors.

What types of entry-level roles are typically available to graduates with a linguistics degree, and how do these roles support long-term career growth?

Graduates with a linguistics degree often find entry-level positions in fields such as language technology (e.g., computational linguist assistant), research, education, publishing, and translation. These roles typically involve tasks like data analysis, transcription, language teaching, or supporting research projects, providing a strong foundation in both practical and analytical skills. Many organizations value the critical thinking and communication abilities developed during a linguistics degree, which can pave the way for advancement into specialized roles like language data scientist, curriculum developer, or project manager. Building experience in interdisciplinary teams and gaining exposure to applied linguistics projects enhances long-term career prospects.

What are the key skills and qualifications needed to thrive with a linguistics degree, and why are they important?

To thrive with a Linguistics degree, you need strong analytical skills, proficiency in language structure and theory, and usually a bachelor's or higher qualification in linguistics or a related field. Familiarity with linguistic analysis tools (like Praat or ELAN), corpus linguistics software, and statistical analysis programs is common. Excellent communication, critical thinking, and cross-cultural awareness are standout soft skills in this area. These capabilities are crucial for success because they enable effective research, problem-solving, and collaboration across education, technology, and language-related industries.

What is the difference between Linguistics Degree vs Speech-Language Pathologist?

AspectLinguistics DegreeSpeech-Language Pathologist
Required CredentialsDegree in linguistics, often no certification requiredMaster's degree in speech-language pathology, certification (e.g., ASHA)
Work EnvironmentResearch, academia, language technology, linguistics labsHospitals, clinics, schools, rehabilitation centers
Industry UsageLanguage research, AI, education, linguistics departmentsHealthcare, education, therapy services

While a Linguistics Degree provides foundational knowledge of language structure and theory, a Speech-Language Pathologist applies clinical skills to diagnose and treat speech and language disorders. The two roles overlap in language expertise but differ significantly in credentials, work settings, and industry focus.

Do linguists get paid well?

Linguists' salaries vary depending on their specialization, experience, and work setting, such as academia, government, or private industry. On average, linguists earn a median annual salary around $60,000, with higher earnings possible for those with advanced degrees or specialized skills like computational linguistics or language technology. Job prospects and pay tend to be better in roles requiring technical expertise or research experience.
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Linguistics Degree jobs near you
Infographic showing various Linguistics Degree job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

ARLIS Computational Linguistics with Security Clearance

University of Maryland

College Park, MD • On-site

Other

Posted 23 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

264th of 623 rated colleges and universities

Job description

Organization Summary
The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent. The University of Maryland Applied Research Lab for Intelligence and Security (ARLIS) is seeking qualified applicants with experience in linguistics, computational linguistics and natural language processing (NLP). This is a full-time position. Successful candidates will contribute to a portfolio of ongoing government-sponsored projects. Key Responsibilities
- Conduct applied research in computational linguistics, NLP, and linguistic data modeling, including text analytics, entity recognition, and multilingual corpus development.
- Design and evaluate algorithms and workflows for linguistic and cultural data processing.
- Develop and maintain NLP pipelines and tools using Python and associated libraries (e.g., spaCy, scikit-learn, NLTK, Pandas, NumPy).
- Collaborate with interdisciplinary teams spanning AI, data science, and cognitive modeling.
- Author research reports, publications, and proposals in support of ongoing ARLIS projects.
- Engage with U.S. Government sponsors to translate research insights into operational applications.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Minimum Qualifications
• Master’s or doctoral degree in linguistics, computational linguistics, or language/literature such as English literature, Chinese, Chinese literature, or other language(s)/literature(s)
• Background in and demonstrated proficiency with computational linguistics/natural language processing (NLP), regardless of degree area, such as through the application of NLP to problems in candidate’s area of expertise
• Minimum intermediate knowledge of Python for all-purpose use/application to a variety of problems (1+ years of regular use for NLP, data science, general scripting, etc. and comfort with all commonly used aspects of the language); 2+ years of regular use for professional applications/advanced knowledge preferred
• Previous experience with a variety of common Python packages and Python tasks preferred (e.g., Pandas, Numpy, general web requests/scripted API utilization, scikit-learn, spaCy, and/or similar) Preferred Qualifications
- Two (2) or more years of professional Python development experience.
- Experience with multilingual or cross-cultural language processing, including Mandarin Chinese or other non-English languages.
- Knowledge of Chinese cultural norms and linguistic structures.
- Prior experience supporting DoD, IC, or federal research programs.
- Experience with machine translation, corpus linguistics, or linguistic annotation tools.
- Record of peer-reviewed publications or technical contributions in NLP, linguistics, or language technology. Knowledge, Skills, and Abilities
- Strong grounding in linguistic theory, computational methods, and applied data science.
- Ability to prototype and deploy NLP workflows efficiently using Python-based tools.
- Effective written and verbal communication skills for technical and sponsor audiences.
- Collaborative mindset and ability to integrate with multidisciplinary teams.
- Commitment to responsible AI and ethical research practices. Physical Demands
Work is performed in an office or hybrid research environment. Occasional travel may be required for sponsor meetings or technical exchanges.

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