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Linguistic Engineer Jobs (NOW HIRING)

Meta

Linguistic Engineer

Burlingame, CA

$107K/yr

As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS ...

Meta

Linguistic Engineer

Redmond, WA

$107K/yr

As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS ...

Meta

Linguistic Engineer

Redmond, WA

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer v.

Meta

Linguistic Engineer

Burlingame, CA · On-site

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer v.

New

Meta

Linguistic Engineer

Redmond, WA · On-site

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer v.

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering ...

Infotech Sourcing

Linguist III

PR · Remote

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 ...

Service Global, Inc

Linguist III

New York, NY · On-site

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

Apex Informatics

Linguist III

Linguist III Location: Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 ... with programming and data analysis with languages and platforms such as Python and SQL with ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... You will work closely with senior engineers to learn how to deliver software that is safe, reliable ...

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Linguistic Engineer information

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$36.5K

$107.3K

$137.5K

How much do linguistic engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for linguistic engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Linguistic Engineer vs Speech Scientist?

AspectLinguistic EngineerSpeech Scientist
Required CredentialsDegree in linguistics, computer science, or related field; experience with NLP and programmingDegree in linguistics, speech pathology, or related field; focus on speech processing and acoustics
Work EnvironmentTech companies, AI development, software labsResearch institutions, universities, healthcare, speech technology firms
Employer & Industry UsageTech industry, AI, NLP projectsAcademic, healthcare, speech recognition, and processing industries

While both roles involve language and speech, Linguistic Engineers focus on developing NLP systems and language models, whereas Speech Scientists specialize in understanding and analyzing speech production and perception. The roles often overlap in speech technology projects but differ in their core focus and expertise areas.

Does the FBI hire linguists?

Yes, the FBI hires linguists as part of its language analysis and translation teams to support national security and law enforcement efforts. Candidates typically need proficiency in multiple languages, security clearances, and relevant educational backgrounds. Linguists may work in translation, interpretation, or analysis roles within the agency.

What is a Linguistic Engineer?

A Linguistic Engineer is a professional who combines expertise in linguistics and computer science to develop language technologies such as speech recognition systems, natural language processing (NLP) tools, and machine translation software. They work on designing and implementing algorithms that allow computers to understand, interpret, and generate human language. Their work is essential in improving digital assistants, chatbots, and other AI-driven language applications.

Do linguists get paid well?

Linguistic engineers and professional linguists can earn competitive salaries, especially with advanced skills in natural language processing, machine learning, and programming. Salaries vary based on experience, location, and industry, with roles in tech companies and research institutions typically offering higher compensation.

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

To thrive as a Linguistic Engineer, you need a strong background in computational linguistics, programming (commonly Python or Java), and natural language processing (NLP), typically supported by a degree in linguistics, computer science, or a related field. Familiarity with NLP frameworks like NLTK or spaCy, machine learning libraries, and experience with annotation tools or speech recognition systems are often required. Attention to detail, analytical thinking, and effective communication are standout soft skills for collaborating with cross-functional teams and solving complex language problems. These skills are crucial for developing accurate language technologies and ensuring that NLP applications perform reliably in real-world scenarios.

Is linguistics in high demand?

Linguistic engineers and related roles are increasingly in demand due to advancements in natural language processing, speech recognition, and AI technologies. Skills in computational linguistics, machine learning, and programming are highly valued in industries such as tech, healthcare, and customer service, leading to steady job growth in this field.

How does a Linguistic Engineer typically collaborate with software developers and data scientists on language technology projects?

Linguistic Engineers often work closely with software developers and data scientists to build and refine natural language processing (NLP) tools and applications. They bring expertise in linguistics and language data, helping to create annotated corpora, develop language models, and ensure the linguistic accuracy of algorithms. Regular communication and teamwork are essential, as Linguistic Engineers translate linguistic requirements into technical specifications, troubleshoot language-related issues, and support model evaluation. This collaborative environment fosters learning and innovation, making cross-functional teamwork a key aspect of the role.

What does a linguistic engineer do?

A linguistic engineer designs and develops language processing systems, such as speech recognition, natural language understanding, and machine translation. They often work with computational linguistics, programming languages, and machine learning tools to improve how computers interpret human language.
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Linguistic Engineer jobs near you
Linguistic Engineer

Linguistic Engineer

Meta

Burlingame, CA

$107K/yr

Full-time

Posted 11 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways.As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will be multilingual to support dataset development across multiple languages, have an interest in NLP and/or conversational AI systems, and be at the forefront of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.
Linguistic Engineer Responsibilities:
  • Build datasets, pipelines, and models for ML applications
  • Directly support product development with rules, prompts, and data patches
  • Evaluate the quality of models and product experiences and close the feedback loop
  • Experience working with project stakeholders
  • Identify best practices and improve procedures across data systems
  • Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support
  • Design and conduct product experiments
  • Move to MINIMUM_QUALIFICATION or PREFERRED_QUALIFICATIONS, or rewrite as a responsibility, e.g., 'Solve complex problems and navigate ambiguity to drive innovative and impactful solutions.'
  • Manage and prioritize multiple work streams
  • Collaborate seamlessly with cross-functional teams

Minimum Qualifications:
  • Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack
  • Experience with text analysis, scripting, relational database, No SQL databases or similar
  • Experience shipping multiple products across various platforms
  • Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience

Preferred Qualifications:
  • Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large dataset and so on
  • 5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies
  • Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields
  • Experience designing and conducting data experiments
  • Practical knowledge of the relationship between data and machine learning models
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with version control, unit tests, and other programming best practices
  • Fluency in additional languages to support multilingual dataset development and product localization

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$107,000/year to $162,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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