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Amazon Data Annotation Jobs (NOW HIRING)

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA

$130.30K - $156.50K/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

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

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How much do amazon data annotation jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for amazon data annotation in the United States is $24.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $29.81 per hour, depending on experience, location, and employer.

What is an Amazon Data Annotation job?

An Amazon Data Annotation job involves labeling or tagging data such as text, images, audio, or videos to improve machine learning models. Annotators follow specific guidelines to provide accurate labels that help refine Amazon's AI systems, including Alexa and product recommendations. This work is often detail-oriented and may require understanding context, language nuances, or specific industry knowledge. The role can be full-time or contract-based and may involve remote or on-site work, depending on the project.

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

To thrive as an Amazon Data Annotation specialist, you need keen attention to detail, accuracy, and proficiency in data labeling or annotation, often supported by a background in data entry or related fields. Familiarity with annotation tools, Amazon’s proprietary data platforms, and in some cases basic understanding of programming languages or machine learning concepts is beneficial. Strong communication skills, adaptability, and the ability to work independently or with minimal supervision help individuals excel in the role. These abilities are crucial for ensuring high-quality, reliable data that supports Amazon’s AI and machine learning initiatives.

What does a typical day look like for an Amazon Data Annotation specialist?

A typical day as an Amazon Data Annotation specialist involves reviewing, labeling, and annotating diverse datasets, such as images, videos, or text, using specialized software and following detailed guidelines. You may collaborate with team members or project leads to clarify instructions and ensure consistency across annotations. Periodic quality checks and feedback sessions are common, helping you refine your work and maintain high standards. While much of the work is independent, clear communication and responsiveness are important for meeting project deadlines and successfully supporting Amazon’s AI development goals.
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Amazon Data Annotation jobs near you
Infographic showing various Amazon Data Annotation job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $50,118 per year, or $24.1 per hour.
Machine Learning Data Linguist, Alexa AI

Machine Learning Data Linguist, Alexa AI

Amazon

Seattle, WA

$130.30K - $156.50K/yr

Full-time

Posted 20 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,804 frontline employees who took The Breakroom Quiz

7th 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

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