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Linguistic Data Analyst Jobs (NOW HIRING)

Hatch IT

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 ... They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

You will bridge the gap between linguistic theory and practical AI applications, helping us ... They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ...

Infotech Sourcing

Linguist III

PR · Remote

Perform linguistic analyses on large datasets. Perform linguistic error analysis of AI model ... for data analysis are a plus. Must be able to independently work through complex requests and ...

Service Global, Inc

Linguist III

New York, NY · On-site

Perform linguistic analyses on large datasets. * Perform linguistic error analysis of AI model ... Experience collaborating with machine learning, NLP, or software engineers, or data scientists ...

PTR Global

Linguist III

Daly City, CA · On-site

$50 - $55/hr

Conduct linguistic error analysis of AI model outputs to identify frequent and severe error ... Proficiency in Python and SQL; additional coding languages for data analysis are a plus. * Ability ...

SOSi

Linguist Analyst (China)

Honolulu, HI

Exovera is seeking a motivated Chinese Linguist-Analyst to lead language-enabled research, analytic ... Identify and collect data for analysis and to create finished reports. * Write and edit finished ...

SOSi

Linguist Analyst (China)

Honolulu, HI · On-site

Exovera is seeking a motivated Chinese Linguist-Analyst to lead language-enabled research, analytic ... Identify and collect data for analysis and to create finished reports. * Write and edit finished ...

SOSi

Linguist Analyst (China)

Honolulu, HI

Exovera is seeking a motivated Chinese Linguist-Analyst to lead language-enabled research, analytic ... Identify and collect data for analysis and to create finished reports. * Write and edit finished ...

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Linguistic Data Analyst information

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How much do linguistic data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for linguistic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a linguistic data analyst do?

A Linguistic Data Analyst is responsible for analyzing language data to improve natural language processing (NLP) systems, such as speech recognition, machine translation, and voice assistants. They annotate and evaluate linguistic data, develop guidelines for language tasks, and collaborate with engineers to enhance language models. Their work often involves tasks like part-of-speech tagging, syntactic parsing, and identifying language patterns or errors. This role requires a strong understanding of linguistics, attention to detail, and familiarity with data analysis tools.

What are the key skills and qualifications needed to thrive as a linguistic data analyst, and why are they important?

To thrive as a Linguistic Data Analyst, you need a strong background in linguistics, data analysis, and proficiency in at least one programming language such as Python or R, often supported by a relevant degree. Familiarity with annotation tools, natural language processing (NLP) systems, and data management platforms is typically required, along with experience in data cleaning and corpus analysis. Attention to detail, critical thinking, and effective communication are crucial soft skills that help ensure accuracy and collaboration in multidisciplinary teams. These skills are essential for extracting meaningful insights from language data and supporting the development of language technologies.

How does a linguistic data analyst typically collaborate with software engineers and product teams?

Linguistic Data Analysts frequently work alongside software engineers and product teams to ensure that language data is accurately represented and effectively utilized in products such as speech recognition systems, chatbots, or translation tools. They provide annotated datasets, clarify linguistic ambiguities, and offer insights on language patterns that can impact algorithm performance. Regular communication and feedback cycles are common, allowing analysts to update data guidelines based on engineering needs and user feedback, making cross-functional teamwork an essential aspect of the role.

What is the difference between Linguistic Data Analyst vs Data Scientist?

AspectLinguistic Data AnalystData Scientist
Required CredentialsBachelor's in Linguistics, Data Analysis, or related field; familiarity with NLP toolsBachelor's or higher in Computer Science, Statistics, or related field; programming skills
Work EnvironmentTech companies, research labs, language technology firmsVarious industries including tech, finance, healthcare, often in collaborative teams
Employer & Industry UsageFocus on language data, NLP projects, speech recognitionBroader data analysis across multiple domains, predictive modeling

The main difference is that a Linguistic Data Analyst specializes in language data and NLP projects, while a Data Scientist works across diverse data types and industries, often with advanced programming and statistical skills.

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Cities with the most Linguistic Data Analyst job openings:

What states have the most Linguistic Data Analyst jobs?

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Linguistic Data Analyst jobs near you
Infographic showing various Linguistic Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Re-posted 13 days ago

Job description

hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:
About the Role
Babel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.
About the Company
Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.
What you will do:
  • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.
  • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
  • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.
  • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
  • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.

What you will bring:
Required:
  • 2-4 years of professional software engineering experience (including high-impact internships or projects).
  • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
  • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
  • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Preferred (Nice to Have):
  • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.
  • Familiarity with Elasticsearch internals or other search/retrieval-based systems.
  • Exposure to computational linguistics or natural language processing (NLP).
  • Interest in Kubernetes and cloud-native architectures.

What success looks like:
  • Month 1-2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3-4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5-6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.

Why this role matters:
The record matching functionality is where Babel Street's signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable - a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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