1

Language Data Analyst Jobs in Washington (NOW HIRING)

Sr. Data Analyst

Washington, DC

$97K - $122K/yr

Able to utilize advanced Structure Query Language (SQL) functionalities in Aqua Data Studio ... Conduct analysis research and analyze CBP's datasets for system and processing errors. * Able to ...

... language * Plans, organizes, and conducts research focused on driver, vehicle, and customer ... Master's degree in Data Analytics or related field, or equivalent experience * Experience of ...

Intelligence Data Analyst

Sterling, VA · On-site

$77K - $176K/yr

Experience with Natural Language Processing techniques and tool * Experience developing custom UI/UX for data analysis * Experience with agile software development practices, product ownership, and ...

Splunk Data Analyst

Laurel, MD · On-site

$103K - $218K/yr

Develop and optimize Splunk Search Processing Language (SPL) queries for robust data analysis. * Define requirements based on customer interactions and feedback. * Deliver polished, high-visibility ...

next page

Showing results 1-20

Language Data Analyst information

See Washington salary details

$38.5K

$93.6K

$154K

How much do language data analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for language data analyst in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Language Data Analyst?

A typical day for a Language Data Analyst involves collecting, processing, and annotating language data, performing quality checks, and analyzing linguistic patterns to support the development of language technologies. You might work closely with data scientists, computational linguists, and software engineers to refine datasets and improve language models. The role often requires balancing independent data tasks with collaborative problem-solving within a multicultural team environment. Over time, you may have opportunities to take on project leadership, specialize in certain languages or technologies, and contribute to product innovation.

What are the key skills and qualifications needed to thrive in the Language Data Analyst position, and why are they important?

To succeed as a Language Data Analyst, you need strong analytical skills, linguistic expertise, and a relevant degree in linguistics, computer science, or a related field. Familiarity with data analysis tools such as Python, SQL, annotation platforms, and experience with Natural Language Processing (NLP) frameworks is highly valuable. Excellent attention to detail, problem-solving abilities, and clear communication skills help set candidates apart. These competencies are crucial to ensure the accuracy and quality of language data, enabling effective collaboration and insightful analysis in multilingual and multicultural projects.

What is a Language Data Analyst job?

A Language Data Analyst is responsible for processing, analyzing, and improving linguistic data used in AI, machine learning, or natural language processing (NLP) systems. They work with large datasets, annotate text, evaluate language models, and ensure data quality. The role requires proficiency in one or more languages, strong analytical skills, and familiarity with computational linguistics or data processing tools.

What are the most commonly searched types of Language Data Analyst jobs in Washington? The most popular types of Language Data Analyst jobs in Washington are:
What are popular job titles related to Language Data Analyst jobs in Washington? For Language Data Analyst jobs in Washington, the most frequently searched job titles are:
Data Science Level 3 (Advanced AI, NLP ), BS+10 yrs or MS+8 yrs

Data Science Level 3 (Advanced AI, NLP ), BS+10 yrs or MS+8 yrs

Link, LLC

Fort George G Meade, MD

Other

Posted 29 days ago


Job description

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP,  machine learning (ML),  data modeling, and programmatic optimizations where needed all while interacting with a premier agency system.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
apply for this job