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Amazon Linguistics Jobs (NOW HIRING)

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

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 ...

Amazon

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 ...

Amazon

Ontologist, Product Knowledge

Seattle, WA · On-site

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 ...

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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 Jul 5, 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 companies hire linguists?

Many companies across industries hire linguists, including technology firms, translation agencies, government agencies, and research organizations. These roles often involve language analysis, translation, speech recognition, or natural language processing, and may require specialized skills or certifications. Major employers include tech giants like Google, Microsoft, and Amazon, as well as defense and intelligence agencies, healthcare providers, and international organizations.

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.

How to become an Amazon proofreader?

To become an Amazon proofreader, candidates typically need strong language skills, attention to detail, and experience with editing or proofreading. Familiarity with Amazon's content guidelines and tools like Microsoft Word or editing software can be beneficial. Some roles may require a proofreading certification or relevant experience in linguistics or editing.

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 generally promising for job seekers.

What type of linguist gets paid the most?

In the field of linguistics, computational linguists and language engineers often earn the highest salaries due to their specialized skills in natural language processing, machine learning, and programming. These roles typically require advanced technical expertise and familiarity with tools like Python and machine learning frameworks, and they are in high demand in tech companies and AI development environments.
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:
Amazon Linguistics jobs near you
Infographic showing various Amazon Linguistics job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Amazon Core Search Organization - Language Engineer, Core Search

Amazon Core Search Organization - Language Engineer, Core Search

Amazon

Seattle, WA

Full-time

Posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,925 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We are the MIDAS team within the Amazon Search organization. We own the end-to-end human annotation requirements for our product partners. This is an opportunity to join a high-performing team that helps customers worldwide find and discover the best products, meet their personalized needs with the right product details, and receive comparisons, recommendations, and more on Amazon.

This role is high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, operations, and engineering teams.
We are looking for a Language Engineer to join MIDAS to write intuitive, labeler-friendly annotation guidelines that enable measurement of search quality, support data wrangling and analysis, define specifications for labeling UI templates, and report labeled-data quality metrics to deliver on stakeholder requirements and improve the customer experience. To achieve high accuracy and consistency in labeled data outputs, Language Engineers apply linguistic (e.g., semantics, syntax, pragmatics) and scripting expertise to solve natural language processing and language understanding challenges.
Key job responsibilities
Design and develop data annotation guidelines and workflows.
Manage and process large amounts of structured and unstructured data.
Adopt and design quality control metrics and methodology to evaluate the quality of data annotation.
Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.
Handle annotation & data investigation requests from multiple stakeholders with high efficiency and quality in a fast-paced environment.
Collaborate with scientists, engineers, and product managers in defining metrics, guidelines, and workflows.
Initiate and contribute towards improvement projects, present solution proposals, and implement them.
Establish processes and mechanisms to onboard and train junior data associates on an ongoing basis.
Handle work prioritization and deliver based on business priorities.
Be flexible in changes to conventions deployed in response to customers' requests and change workflows accordingly.
About the team
Amazon is among the world's top 10 most-visited websites, and Amazon Search Organization sits at the center of how hundreds of millions of customers shop-processing billions of queries to find products. Within Amazon Search, the MIDAS team delivers high-quality labeled data at scale to train and evaluate AI models and produce metrics that measure customer experience

We operate with agility, deep linguistic expertise, strong data integrity, self-service enablement, and frugal use of resources. We partner closely with applied science, engineering, and product teams to improve semantic matching, ranking, computer vision, image processing, and augmented reality.

What Amazon employees say

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Hours and flexibility

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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

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