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Entry Level Data Linguist Jobs (NOW HIRING)

Jobgether

$15.50 - $20/hr

... accuracy, linguistic consistency, and overall data quality across multiple languages. Working ... Opportunity to contribute to multilingual AI and language technology projects. * Entry-level ...

TransPerfect

Accounts Payable Specialist

San Juan, PR · On-site

$20.75 - $26.75/hr

Data Entry - entering invoices without errors * Resolve payment issues and answer payment questions ... Operations invoiced payments - irregular payments for invoiced items (non-linguistic vendors)

TransPerfect

Accounts Payable Specialist

San Juan, PR

$20.75 - $26.75/hr

Data Entry - entering invoices without errors * Resolve payment issues and answer payment questions ... Operations invoiced payments - irregular payments for invoiced items (non-linguistic vendors)

All JobsData Linguist JobsEntry Level Data Linguist Jobs

Entry Level Data Linguist information

See salary details

$52K

$73.4K

$95.5K

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

As of Jul 26, 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.

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.
More about Entry Level Data Linguist jobs
What cities are hiring for Entry Level Data Linguist jobs? Cities with the most Entry Level Data Linguist job openings:
What are the most commonly searched types of Data Linguist jobs? The most popular types of Data Linguist jobs are:
What job categories do people searching Entry Level Data Linguist jobs look for? The top searched job categories for Entry Level Data Linguist jobs are:
Entry Level Data Linguist jobs near you
Infographic showing various Entry Level Data Linguist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,373 per year, or $35.3 per hour.

Transcription Reviewers - Multiple Languages

Jobgether

Remote

$15.50 - $20/hr

Full-time

Posted 13 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Transcription Reviewers - Multiple Languages based in Netherlands.

Join a long-term remote project supporting high-quality multilingual transcription and annotation services for AI and language technology initiatives. This freelance opportunity offers a consistent and growing workflow, making it ideal for detail-oriented language professionals seeking flexible work. You will play an important role in ensuring transcription accuracy, linguistic consistency, and overall data quality across multiple languages. Working independently while following established quality standards, you will help improve language datasets used in advanced technology solutions. The role includes onboarding through training and an assessment before production begins, providing a clear path to successful project participation.

Accountabilities
  • Review text transcripts to verify their accuracy, completeness, and linguistic quality.
  • Validate transcription outputs by identifying and correcting errors, inconsistencies, or missing information.
  • Perform annotation tasks according to project-specific guidelines and quality standards.
  • Follow established review procedures to ensure all deliverables meet accuracy and consistency requirements.
  • Complete assigned tasks independently while maintaining productivity and high-quality results.
Requirements
  • Native-level proficiency in one of the following languages: German, English (US), Spanish (US), Spanish (Latin America), Spanish (Spain), Catalan, French (France), Polish, Portuguese (Brazil), Portuguese (Portugal), Romanian, Turkish, Dutch, Simplified Chinese, Hungarian, Indonesian, Norwegian, Russian, Swedish, Vietnamese, Danish, Czech, or Finnish.
  • Strong command of English for project communication and guideline comprehension.
  • Previous experience in transcription, transcription review, annotation, or similar linguistic projects is an advantage.
  • Excellent attention to detail with strong proofreading and language quality assessment skills.
  • Ability to work independently in a remote environment while consistently meeting quality expectations.
  • Willingness to complete the required training and assessment before beginning production work.
Benefits
  • Fully remote freelance opportunity with flexible working arrangements.
  • Long-term project with a steady and expanding workflow.
  • Opportunity to contribute to multilingual AI and language technology projects.
  • Entry-level opportunity for candidates looking to build experience in transcription review and annotation.
  • Structured onboarding through project-specific training and assessment.
  • Potential for ongoing collaboration based on performance and project needs.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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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