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Entry Level Amazon Data Annotation Jobs (NOW HIRING)

Amazon

Language Data Scientist, Alexa AI

Seattle, WA · On-site

Amazon is seeking a Language Data Scientist to join the Alexa Artificial Intelligence (AI) team as ... relevant annotation workflows. The Language Data Scientist will be asked to handle unique data ...

Amazon

Language Data Scientist, Alexa AI

Seattle, WA · On-site

Amazon is seeking a Language Data Scientist to join the Alexa Artificial Intelligence (AI) team as ... relevant annotation workflows. The Language Data Scientist will be asked to handle unique data ...

Beyond SOF

DATA ENGINEER

Reston, VA

$119.30K - $143.30K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

Beyond SOF

DATA ENGINEER

Reston, VA · On-site

$119.30K - $143.30K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

Amazon

Language Engineer II, Operations Team

Seattle, WA · On-site

$79.10K - $107K/yr

... data analysis using Python or other scripting language - Advocate strict adherence to annotation ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

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How much do entry level amazon data annotation jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level amazon data annotation in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Amazon Data Annotation Specialist, and why are they important?

To thrive as an Entry Level Amazon Data Annotation Specialist, you need attention to detail, basic computer literacy, and the ability to follow precise instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and common office software like Excel is typically required. Strong communication, time management, and the ability to work independently are valuable soft skills in this role. These skills ensure accurate data processing, contribute to high-quality machine learning outputs, and help maintain productivity in a deadline-driven environment.

What are some common challenges faced by entry-level Amazon data annotation specialists, and how can they be addressed?

Entry-level Amazon data annotation specialists often encounter challenges such as maintaining high accuracy while working with repetitive tasks, adapting to evolving project guidelines, and managing productivity targets. To address these, it's important to develop a strong attention to detail, seek clarification on ambiguous instructions, and utilize any available training or feedback sessions. Building a habit of double-checking your work and staying organized can also help improve both speed and quality, leading to better performance and growth opportunities within the team.

What are entry level Amazon data annotation jobs?

Entry level Amazon data annotation jobs involve labeling, tagging, categorizing, or otherwise annotating data such as images, text, or audio to help improve machine learning models and artificial intelligence systems. These roles typically require attention to detail, the ability to follow guidelines, and may involve repetitive tasks. No advanced technical skills are usually required, making them suitable for those new to the tech industry or individuals seeking remote and flexible work opportunities. Employees may work on platforms like Amazon Mechanical Turk or directly for Amazon’s internal data teams. This work is essential for ensuring the quality and accuracy of AI-driven products and services.
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Entry Level Amazon Data Annotation jobs near you
Infographic showing various Entry Level Amazon Data Annotation job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 30% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
Language Engineer, Artificial General Intelligence - Data Services

Language Engineer, Artificial General Intelligence - Data Services

Amazon

Boston, MA

$124.40K - $149.40K/yr

Full-time

Posted 3 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th 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

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