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$52K

$73.4K

$95.5K

How much do entry level data linguist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level data linguist in the United States is $73,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What is an entry level data linguist?

An Entry Level Data Linguist is a professional who works with language data to help improve natural language processing (NLP) systems, such as voice assistants or translation tools. They typically annotate, categorize, and analyze linguistic data to train AI models. This role often involves tasks like reviewing transcripts, labeling parts of speech, and identifying language patterns. Entry-level data linguists usually have a background in linguistics, languages, or related fields, and strong attention to detail is essential. It's a great starting point for those interested in computational linguistics or AI development.

What types of projects and collaborations can an entry level data linguist expect to work on in their first year?

As an Entry Level Data Linguist, you can expect to work on projects involving text annotation, speech data transcription, and the development of linguistic resources for machine learning models. You'll frequently collaborate with software engineers, computational linguists, and quality assurance teams to ensure data quality and consistency. It's common to participate in team meetings to discuss project guidelines, share challenges, and refine annotation processes. This collaborative environment offers valuable learning opportunities and exposure to a range of language technologies and tools.

What are the key skills and qualifications needed to thrive as an entry level data linguist, and why are they important?

To thrive as an Entry Level Data Linguist, you need a strong background in linguistics, language analysis, and proficiency in at least one language beyond English, often supported by a degree in linguistics or a related field. Familiarity with annotation tools, natural language processing (NLP) platforms, and basic data analysis software is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for accurately annotating and interpreting language data. These skills ensure high-quality language data processing, which is essential for improving AI language models and related technologies.

What is the difference between Entry Level Data Linguist vs Data Analyst?

AspectEntry Level Data LinguistData Analyst
Required CredentialsBachelor's degree in linguistics, language studies, or related field; basic understanding of data toolsBachelor's degree in statistics, mathematics, or related field; proficiency in data analysis software
Work EnvironmentData labeling, language processing, and annotation tasks often in tech or AI companiesData cleaning, interpretation, and reporting in various industries like finance, healthcare, or marketing
Employer & Industry UsageTech companies, AI firms, language service providersBusiness, finance, healthcare, marketing, and consulting firms

While both roles involve working with data, Entry Level Data Linguists focus on language-related data tasks such as annotation and processing, often in AI and tech environments. Data Analysts analyze and interpret data to support business decisions across various industries. The roles share some technical skills but differ mainly in their focus areas and industry applications.

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Entry Level Data Linguist jobs near you
Infographic showing various Entry Level Data Linguist 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 $73,373 per year, or $35.3 per hour.

Entry-Level Software Engineer -- Remote

Steelcut Software, Inc.

Bethesda, MD • On-site

$65 - $85/hr

Other

Posted 4 days ago

Job description

Steelcut Software is in the process of expanding. We are looking for Software Engineers, Systems Administrators, and Subject Matter Experts to lead development and deployment of next-generation web applications.

Steelcut Software, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran, or other protected status.

Entry-Level Software Engineer — Remote

This is a great opportunity for an enthusiastic, recent graduate to gain experience writing software for real-world web applications and be exposed to Machine Learning. We are a small team, so you may have the opportunity to contribute to all aspects of the software development, delivery, and maintenance process depending on your skill-level and interest.

PLEASE NOTE: Currently this is a remote position with occasional in-person meetings. However, preference will be given to candidates in the vicinity of Bethesda, MD, as a hybrid work arrangement may be established in the future.

What you'll do
  • Maintain and enhance client components written in GWT, a web framework based on Java
  • Migrate legacy GWT components to React
  • Implement Java or Python webservices and server-side APIs that provide data to client-side components and other systems
  • Extend a data model to include new objects and database mappings in Java or Python
  • Write and maintain tests for client and server side components
  • Implement DevOps pipelines for build, test, analysis, and delivery
  • Support training, hyperparameter tuning, and retraining of Machine Learning models
  • Develop shell scripts and Python tools to streamline system management and maintenance, Machine Learning experimentation, and data preparation
What you'll get out of it
  • A chance to participate in the full application life-cycle from planning and design to delivery and production support
  • Exposure to the latest advances in Machine Learning, Artificial Intelligence, and Natural Language Processing
  • Experience ensuring Machine Learning models can perform under production workloads
  • Exposure to linguistics and dozens of languages
What you'll need

In general, you should:

  • Be motivated to write solid, well-tested code that will be in production
  • Want to be involved in the full software life-cycle
  • Be a self-starter who actively looks for ways to improve our environment, process, and the software we are creating
  • Demonstrated experience with Java
  • A solid understanding of object-oriented concepts
  • Exposure to client-side frameworks, design patterns, and libraries like React and MUI is desired
  • Some familiarity with Linux. We're an all Linux shop and you'll be in bash every day
  • Some relevant professional experience, preferably in a Software Developer role, from a prior internship or co-op position
  • BS in Computer Science, or a related field; or at least 4 years of relevant experience
  • Any non-English language skill, or linguistics background would be valuable
Why work at Steelcut Software?

Steelcut Software provides contract software development to primarily government clients, and aims to fill the gap between research and production. Our focus areas are re-engineering and transitioning prototypes to production use, and serving as a source of production-focused Machine Learning expertise.

Steelcut Software is a company built by an Engineer as a place for Engineers. We're looking for Engineers who write software employing the latest advances in Machine Learning and Artificial Intelligence, but that is also focused on quality, usability, and production readiness. We're also looking for Systems Administrators who are interested in keeping up the latest trends in secure systems administration. Our intent is to be adaptable and agile, limit organizational overhead, and provide a supportive, collaborative environment that gives space for our Engineers to innovate.

At Steelcut Software, we know our people are our most valuable resource. To show our appreciation and ensure our team is satisfied, we supply you with great equipment, have a flexible work environment, and provide a comprehensive benefits package that includes:

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