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Linguistic Data Analyst Jobs (NOW HIRING)

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering ...

BC Forward

Linguist II (LLM/AI)

Sunnyvale, CA · On-site

$36 - $40.20/hr

The ideal candidate will have strong experience in linguistic data analysis, language technology, and programming familiarity and a proven ability to support data collection, synthetic data ...

Pae

Data Analyst

Mclean, VA · On-site

... Linguistics. * A strong background in data analysis, with a strong understanding of SQL principles ... Experience in programming languages such as Python, R, or similar. * Strong problem-solving skills ...

Genesis10

AI Linguist - Hybrid

Mountain View, CA · On-site

$38.61 - $45.48/hr

... Conduct data-driven analysis and provide linguistic insights for project development Be part of working groups that develop high-quality human judgment/annotation/evaluation pipelines Create ...

Amentum

Data Analyst with Security Clearance

Mclean, VA · On-site

... Linguistics. * A strong background in data analysis, with a strong understanding of SQL principles ... Experience in programming languages such as Python, R, or similar. * Strong problem-solving skills ...

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Linguistic Data Analyst information

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$34K

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$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.
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What cities are hiring for Linguistic Data Analyst jobs? Cities with the most Linguistic Data Analyst job openings:
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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.

MTC Data Analyst (Part-time)

The Church of Jesus Christ of Latter-day Saints

Provo, UT • On-site

Part-time

Posted 12 days ago

Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations

Job description

This position is central to the missionaries' role to 'Invite others to come unto Christ by helping them receive the restored gospel through faith in Jesus Christ and His Atonement, repentance, baptism, receiving the gift of the Holy Ghost, and enduring to the end.' The TALL Embark Data Analyst is an entry support level individual contributor responsible for analyzing and improving content and metadata for all MTC training languages. They work with partners in other areas to improve content quality and impact under the direction of the Curriculum Solution Manager.

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Required:
1 year of experience working with language learning content, data analysis, content management or language training
Proficiency in a second language
Ability to design and debug computational processes (data transformation, string comparison)
Ability to design and interpret relational data structures
Ability to interpret and articulate complex technical requirements
Strong knowledge of spreadsheet formulas (Google Sheets)
Ability to use or learn to use Python/R and SQL
To successfully perform the essential functions of the job, there may be physical requirements which need to be met such as sitting for long periods of time and using monitors/equipment.


Preferred:
Foundational knowledge of linguistics concepts
Familiarity with MTC curriculum and practices
Familiarity with TALL Embark

Reports to manager level in the Training department.
Maintains language content and metadata using Google Sheets, scripts, APIs, published linguistic data, and ad hoc processes.
Seeks content feedback from training partners.
Designs and completes quality audits to ensure data consistency and coverage.
Completes varied content management assignments with minimal supervision.
Recommends and/or create automation components to improve content maintenance processes.
Documents complex content management processes.
Requests, tracks, and communicates on the release of content updates.
May include other temporary assigned duties at the MTC (e.g. assisting with Mission Leadership Seminar)

What Church of Jesus Christ of Latter-day Saints employees say

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