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Amazon Data Annotation Jobs (NOW HIRING)

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... Amazon shopping journey. Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... Amazon shopping journey. Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to ...

Amazon

Catalog Specialist, RCX

Bellevue, WA

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

Amazon

Catalog Specialist, RCX

Bellevue, WA

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

Amazon

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 ...

Telus Digital

$165K - $210K/yr

... the full AI data lifecycle from initial collection and annotation through to validation, fine ... Map the full Amazon organization to identify white space, emerging priorities, and expansion ...

Telus Digital

$165K - $210K/yr

... the full AI data lifecycle from initial collection and annotation through to validation, fine ... Map the full Amazon organization to identify white space, emerging priorities, and expansion ...

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Amazon Data Annotation information

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $12 and $20 per hour, depending on experience, location, and task complexity. These roles often require attention to detail and familiarity with annotation tools, and may offer flexible schedules for remote work.

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 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.

Does Amazon really pay you to work from home?

Amazon Data Annotation jobs are typically remote positions that pay employees for their work from home. Compensation varies based on the role and hours worked, and employees are usually paid through direct deposit on a regular schedule. These jobs often require attention to detail and familiarity with annotation tools.

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.

What is annotation in Amazon?

In the context of Amazon data annotation jobs, annotation involves labeling or tagging data such as images, videos, or text to help train machine learning models. Workers use specialized tools to add accurate labels, which are essential for improving AI systems' performance. Attention to detail and understanding of the data are important for this role.

Does data annotation actually pay well?

Data annotation jobs, including roles like Amazon Data Annotation, typically offer hourly wages that are close to minimum wage or slightly above, depending on the employer and location. Pay rates can vary based on the complexity of tasks, required skills, and whether the work is freelance or full-time, but generally do not provide high salaries. Many positions are suitable for entry-level workers and may include flexible schedules or remote work options.
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Amazon Data Annotation jobs near you
Infographic showing various Amazon Data Annotation job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution.
Amazon Core Search Organization - Language Engineer, Core Search

Amazon Core Search Organization - Language Engineer, Core Search

Amazon

Seattle, WA

Full-time

Re-posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,968 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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