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Linguistic Data Analyst Jobs (NOW HIRING)

Welocalize, Inc.

Data Labeling Associate

San Diego, CA · On-site

$17 - $22/hr

Utilize intermediate data analysis techniques to extract insights and inform decision-making. * Arbitrate discrepancies effectively, ensuring consistent data quality. Linguistic and NLP Tasks:

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Utilize intermediate data analysis techniques to extract insights and inform decision-making. * Arbitrate discrepancies effectively, ensuring consistent data quality. Linguistic and NLP Tasks:

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 ...

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 · 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 ...

OVA.Work

AI prompt analyst

Required : • Bachelor's degree in Computer Science, Data Science, Linguistics, AI, or related ... and analytical skills • Experience with tools like ChatGPT, Claude, Gemini, or similar AI ...

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 ...

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Linguistic Data Analyst information

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$34K

$82.6K

$136K

How much do linguistic data analyst jobs pay per year?

As of Aug 13, 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 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.

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.

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.

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.
More about Linguistic Data Analyst jobs
What cities are hiring for Linguistic Data Analyst jobs? Cities with the most Linguistic Data Analyst job openings:
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What job categories do people searching Linguistic Data Analyst jobs look for? The top searched job categories for Linguistic Data Analyst jobs are:
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, 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 $82,640 per year, or $39.7 per hour.

Data Labeling Associate

Welocalize, Inc.

San Diego, CA • On-site

$17 - $22/hr

Full-time

Re-posted 5 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

334th of 491 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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