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Data Linguist Jobs (NOW HIRING)

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of: - Handling unique data analysis requests from a range of data customers - Providing data quality ...

Linguist III Location: Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 Experience with language annotation or other forms of data markup and tagging 3 Experience with ...

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 ...

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 ...

Linguists play a central role in the development, refinement, and execution of Gap International ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

Linguist III Location: US - NY - Remote Main duties: * Perform linguistic analyses on large ... Experience collaborating with machine learning, NLP, or software engineers, or data scientists ...

Linguists play a central role in the development, refinement, and execution of Gap International ... Strong analytic and synthesis skills; able to move from theory data insight application * Clear ...

Linguists play a central role in the development, refinement, and execution of Gap International ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

We're seeking a Computational Linguist to support our entity resolution systems through data-driven ... You'll help build processes and pipelines to streamline data workflows. You will also be ...

Description Data Generation & Management: Design, generate, and maintain high-quality datasets for entity resolution testing and evaluation; automate data generation pipelines where possible ...

About the Role We are looking for a top-notch Sr. Computational Linguist who is passionate about using language data and modeling to help our users connect effortlessly to Roku content and ...

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Data Linguist information

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$52K

$73.4K

$95.5K

How much do data linguist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data linguist in the United States is $73,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What is a Data Linguist job?

A Data Linguist analyzes and processes language data to improve natural language processing (NLP) systems. They work with large datasets, annotate linguistic features, and refine algorithms for speech recognition, machine translation, and text analysis. Their role often involves collaborating with data scientists and engineers to enhance language models. Proficiency in linguistics, coding, and data analysis is essential.

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

To excel as a Data Linguist, you need a solid background in linguistics, computational linguistics, or a related field, combined with strong analytical and data annotation skills. Familiarity with tools such as Python, NLP frameworks (like spaCy or NLTK), and annotation platforms is commonly required. Excellent attention to detail, collaboration skills, and the ability to communicate complex language patterns clearly can set you apart. These competencies are crucial for accurately structuring, processing, and interpreting language data in support of various computational projects.

What are some typical daily responsibilities for a Data Linguist within a large tech or AI-focused company?

As a Data Linguist, your daily routine may involve annotating linguistic data, developing or refining language models, and collaborating with software engineers and data scientists to ensure high-quality language outputs. You might review and correct machine-generated text, contribute to guidelines for data annotation, or perform quality evaluations on language datasets. Cross-functional teamwork is common, as you’ll often provide linguistic expertise to teams developing AI, voice assistants, or multilingual products. This blend of hands-on data work and collaborative problem-solving creates a varied and intellectually engaging work environment.

More about Data Linguist jobs
What cities are hiring for Data Linguist jobs? Cities with the most Data Linguist job openings:
What are the most commonly searched types of Data Linguist jobs? The most popular types of Data Linguist jobs are:
What states have the most Data Linguist jobs? States with the most job openings for Data Linguist jobs include:
Infographic showing various Data Linguist job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 15% Internship, 58% As Needed, 3% Full Time, 19% Nights, and 1% Summer. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $73,373 per year, or $35.3 per hour.
Machine Learning Data Linguist, Alexa AI

Machine Learning Data Linguist, Alexa AI

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,828 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables.
The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:
- Handling unique data analysis requests from a range of data customers
- Providing data quality expertise to other team members and coaching improvements
- Delivering high quality work in a fast-paced environment
- Working autonomously with minimum direction
- Building a thorough understanding of conventions and providing support to global sites
- Understanding changes to conventions deployed in response to customers' requests and modifying workflows accordingly
- Contributing to process improvements to reduce handling time and improve output
- Improving software tools by identifying bugs and suggesting enhancements
- Diving deep into issues and implementing solutions independently
- Proactively addressing issues and problems
- Keeping up with changing project conventions and priorities
Key job responsibilities
- Label, generate, and ensure the quality of datasets.
- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A day in the life
Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the team
The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US