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Linguistic Data Analyst Jobs (NOW HIRING)

Welocalize, Inc.

OR · On-site

Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ... Strong analytical skills with the ability to identify patterns and anomalies. Additional ...

Meta

Linguistic Engineer

Redmond, WA

$107K/yr

Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate ... Linguistic Engineer Responsibilities: * Build datasets, pipelines, and models for ML applications

New

Expedia

Data Analyst II - Agentic Experiences

Seattle, WA · On-site

$112K - $156K/yr

... Linguistics, or Cognitive Science degree) * OR 2+ years in a comparable data analytics, AI evaluation, or annotation role with relevant experience * Demonstrated experience delivering data-driven ...

New

Apex Informatics

Linguist III

Linguist III Location: Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 ... and data analysis with languages and platforms such as Python and SQL with intermediate fluency.

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 ...

Propio

AI Engineer

Leawood, KS

$111K - $133K/yr

Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance ... Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics ...

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance ... Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance ... Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics ...

Welocalize, Inc.

OR

$16 - $20.75/hr

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

Apple

Computational Linguist, Proactive

Cupertino, CA · On-site

$172K - $305K/yr

Clean, process, and analyze language data using linguistic expertise to identify patterns, edge cases, and system failures; surface insights that drive product improvements Cross-Functional ...

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Linguistic Data Analyst information

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$82.6K

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How much do linguistic data analyst jobs pay per year?

As of Jun 11, 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 data linguist do?

A data linguist analyzes language data to improve natural language processing systems, such as speech recognition or machine translation. They often work with large datasets, use linguistic expertise, and employ tools like Python or SQL to annotate, categorize, and interpret language patterns.

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.

Does the FBI hire linguists?

Yes, the FBI hires linguists as part of their language analysis and translation teams. These roles often require proficiency in multiple languages, security clearances, and specialized training in intelligence work. Linguists may work on translating documents, intercepting communications, or supporting investigations.

Is linguistics in high demand?

Linguistic Data Analysts are in growing demand as organizations seek to improve natural language processing, machine learning, and AI applications. Skills in data analysis, programming, and understanding of linguistics increase employability in tech, research, and industry sectors.

What does a linguist analyst do?

A linguistic data analyst processes and interprets language data to support natural language processing and machine learning projects. They analyze speech, text, and linguistic patterns using tools like Python or specialized software, ensuring data quality and accuracy for language-related applications.
More about Linguistic Data Analyst jobs
What cities are hiring for Linguistic Data Analyst jobs? Cities with the most Linguistic Data Analyst job openings:
What states have the most Linguistic Data Analyst jobs? States with the most job openings for Linguistic Data Analyst jobs include:
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

OR • On-site

Full-time

Posted 19 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

204th of 426 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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Thank you!

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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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