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Amazon Linguistics Jobs (NOW HIRING)

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... As part of our diverse team-including data scientists, engineers, language engineers, linguists ...

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... As part of our diverse team-including data scientists, engineers, language engineers, linguists ...

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Amazon Linguistics information

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$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
What job categories do people searching Amazon Linguistics jobs look for? The top searched job categories for Amazon Linguistics jobs are:
Language Engineer, Artificial General Intelligence - Data Services

Language Engineer, Artificial General Intelligence - Data Services

Amazon

Boston, MA • On-site

$124K - $149K/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

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.


Key job responsibilities
Specifically, the Language Engineer will:
Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
Analyze and extract language-related insights from large amounts of data
Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
Use modeling tools to bootstrap or test new functionalities
Collaborate with scientists and software engineers to evaluate performance of language models
Handle competing requests from a range of data 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