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Amazon Linguistics Jobs (NOW HIRING)

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

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 ...

Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...

Language Engineer II, Operations Team

Seattle, WA · On-site

$79K - $107K/yr

... in Linguistics or a related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our ...

Ontologist II - AMZ9740721

Seattle, WA · On-site

$113K - $144K/yr

AMAZON.COM SERVICES LLC Offered Position: Ontologist II Job Location: Seattle, Washington Job ... Master's degree or foreign equivalent degree in Information Science, Library Science, Linguistics ...

Research worldwide understanding of Amazon products to develop scalable data models that solve ... Linguistics or equivalent professional experience - 3+ years of relevant work experience working in ...

... Linguistics or other relevant fields - Proficiency in SQL, SPARQL - Exposure to data science and/or machine learning, including graph embeddings Amazon is an equal opportunity employer and does not ...

AMAZON.COM SERVICES LLC Offered Position: Technical Program Manager III Job Location: Austin, Texas ... Linguistics, or a related field and one year of experience in the job offered or as a Project Lead ...

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Amazon Linguistics information

See salary details

$45K

$58.4K

$97.5K

How much do amazon linguistics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for amazon linguistics in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What is the difference between Amazon Linguistics vs Amazon Data Analyst?

AspectAmazon LinguisticsAmazon Data Analyst
Required CredentialsDegree in Linguistics, Computational Linguistics, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentResearch-focused, language data analysis, NLP projectsData interpretation, reporting, business insights
Employer & Industry UsageUsed in language processing, AI, and NLP teamsUsed across business units for data-driven decisions
Common Search & ComparisonOften compared for language-specific rolesCompared for data analysis roles

Amazon Linguistics focuses on language data, NLP, and linguistic research, while Amazon Data Analysts handle data interpretation and business insights. Both roles require analytical skills but differ in their focus areas and expertise.

How does an Amazon Linguistics professional typically collaborate with software engineering and product teams?

Amazon Linguistics professionals often work closely with software engineers and product managers to ensure language data is accurately integrated into products and services. They participate in cross-functional meetings to define linguistic requirements, annotate datasets, and provide insights on language nuances that impact user experience. Regular collaboration helps resolve ambiguities in natural language processing models and ensures that linguistic elements align with Amazon’s global audience. This teamwork is vital for developing scalable, high-quality language solutions across Amazon’s platforms.

What is Amazon Linguistics?

Amazon Linguistics typically refers to roles within Amazon that focus on language data, natural language processing, and linguistic research to support products like Alexa, Amazon Translate, and other AI-driven services. Linguists at Amazon work on tasks such as corpus creation, annotation, language modeling, and improving the understanding of human language by machines. They collaborate with engineers and scientists to enhance language technology across multiple languages and regions. These positions require expertise in linguistics, computational linguistics, and sometimes programming or data analysis skills.

What are the key skills and qualifications needed to thrive as an Amazon Linguist, and why are they important?

To thrive as an Amazon Linguist, you need expertise in linguistics, language analysis, and fluency in one or more target languages, often supported by a relevant degree. Familiarity with language annotation tools, natural language processing (NLP) systems, and industry-standard software is typically required. Excellent attention to detail, cultural awareness, and strong communication skills help linguists deliver high-quality language solutions and collaborate effectively with technical teams. These skills ensure accurate language data, which is crucial for developing and refining Amazon's multilingual products and services.

Is there a demand for linguists?

There is a strong demand for linguists in various industries, including technology, healthcare, and government, especially for roles involving language analysis, translation, and natural language processing. Companies like Amazon and other tech firms seek linguists with skills in multiple languages and familiarity with tools like speech recognition and machine learning, making the field competitive and expanding.
More about Amazon Linguistics jobs
Infographic showing various Amazon Linguistics job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Machine Learning Data Linguist, Alexa AI

Machine Learning Data Linguist, Alexa AI

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 25 days ago


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