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Linguistic Data Analyst Jobs (NOW HIRING)

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 ...

... 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 ...

... 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 ...

... 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 ...

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

... Drive root-cause analysis when projects miss quality, cost, or timeline expectations ... or linguistic data. • Experience building or improving internal tools, workflow systems ...

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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 Sep 3, 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 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.

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.

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.

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.

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:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Facebook - Linguist III

Prolim Global

Burlingame, CA • On-site

Contractor

Re-posted 22 days ago


Job description

PROLIM (www.prolim.com) is currently seeking Linguist III for one of our top Client for Location- Onsite in Redmond, WA or Burlingame, CA

Qualified candidates can directly send your updated resume and contact info via email: alec.dsouza@prolim.com

Job description:

Linguist III

Onsite in Redmond, WA or Burlingame, CA

Summary:

We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products. 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, rule-based classifier encoding, and quality evaluations.

Job Responsibilities:

• Provide linguistic expertise while delivering data for large language models

• Collaborate with other linguists and data operations teams in data collection, data curation, and annotation efforts

• Evaluate and curate data sets for ML models using LLM solutions

• Assess model performance and data quality

• Prompt engineering

• Create guidelines in support of labeling projects that enable annotators to consistently label language data at quality

• Collaboratively develop complex and consistent linguistic analyses

Required Qualifications

• Bachelor’s degree in general Linguistics, Computational Linguistics, or related field

• Experience with regular expression encoding

• Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics

• Experience working with speech and text data

• Familiar with Large Language Models (LLMs), prompt engineering and their applications

• Comfortable working in a fast paced, highly collaborative, dynamic work environment

• Strong organizational skills and detail oriented

• Excellent communication skills both verbal and written

• Experience with database queries and data analysis processes (i.e. SQL, spreadsheets)

• Proficiency in Python

Preferred (additional) Qualifications

• Master’s or PhD in Linguistics, language technologies, computational linguistics, or related field

• Experience with machine learning frameworks, NLP Libraries and Tools

2-3 Years of experience working in a Linguist role

Conversational assistant, ML Support, LLMs

About PROLIM

PROLIM is a leading provider of PLM, IoT and Digital transformation solutions to Global Fortune 1000 companies. With 9 global offices in US, India, and Australia, PROLIM has won 30+ awards and proudly serving over 1200+ customers to innovate and improve their profitability and efficiency. PROLIM was founded in 2005 and is headquartered in Farmington Hills, USA. With the global footprint and expertise in latest technologies, PROLIM can partner with you to speed up your Digital Transformation journey.