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$52K

$73.4K

$95.5K

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

As of Aug 15, 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 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.

Are entry level data linguists in demand?

Entry level data linguists are in demand due to the growing need for language processing and data annotation in AI and machine learning applications. Skills in natural language processing, attention to detail, and familiarity with annotation tools increase employability in this field.

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 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.
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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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $73,373 per year, or $35.3 per hour.

Entry to Sr. Level Software Engineers

Euclid Innovations

Charlotte, NC • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Euclid Innovations is a technology company seeking Entry to Sr. Level Software Engineers. The role involves developing, testing, and managing software applications primarily using Salesforce technologies, while also ensuring data integrity and facilitating CI/CD processes.
Responsibilities:
• Develop, test, and manage software applications using Salesforce Lightning and Apex technologies.
• Write, test, and deploy Salesforce Apex code, Lightning Components (LWC), and other force.com metadata.
• Maintain data integrity and cleanliness within Salesforce.
• Set up CI/CD processes for seamless deployment using Jenkins, GitHub/Bitbucket, and deployment tools like COPADO, Salesforce CLI, and Gearset.
• Develop unit and integration test cases using React JS, CSS, HTML, Node.js, JUnit, Mockito, and PowerMockito frameworks.
• Work with SQL and NoSQL databases such as MongoDB.
• Use technologies and tools including Jenkins, Docker, Kubernetes, Java, J2EE, JavaFX, MySQL, TCP, UDP, Serial COM, AWS ECS, ASP.NET/Web API, .NET Framework, Angular, Hadoop, SaaS, Agile Scrum, Kanban, C++, Qt, QML, Qt Linguist, qmake, and Git.
• Must be willing to travel to unanticipated locations across the United States to perform feasibility studies and evaluate user requirements.
Qualifications:
Required:
• Develop, test, and manage software applications using Salesforce Lightning and Apex technologies.
• Write, test, and deploy Salesforce Apex code, Lightning Components (LWC), and other force.com metadata.
• Maintain data integrity and cleanliness within Salesforce.
• Set up CI/CD processes for seamless deployment using Jenkins, GitHub/Bitbucket, and deployment tools like COPADO, Salesforce CLI, and Gearset.
• Develop unit and integration test cases using React JS, CSS, HTML, Node.js, JUnit, Mockito, and PowerMockito frameworks.
• Work with SQL and NoSQL databases such as MongoDB.
• Use technologies and tools including Jenkins, Docker, Kubernetes, Java, J2EE, JavaFX, MySQL, TCP, UDP, Serial COM, AWS ECS, ASP.NET/Web API, .NET Framework, Angular, Hadoop, SaaS, Agile Scrum, Kanban, C++, Qt, QML, Qt Linguist, qmake, and Git.
• Must be willing to travel to unanticipated locations across the United States to perform feasibility studies and evaluate user requirements.
• There is no international travel and no relocation required.
• Any travel will be temporary in nature, up to but not exceeding 25%.
• The hired employee will work the vast majority of the time from the Euclid Innovations address.
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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