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Entry Level Amazon Data Annotation Jobs (NOW HIRING)

... 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 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 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 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 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 ...

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$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 ...

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$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 ...

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 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 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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Entry Level Amazon Data Annotation information

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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.
More about Entry Level Amazon Data Annotation jobs
What cities are hiring for Entry Level Amazon Data Annotation jobs? Cities with the most Entry Level Amazon Data Annotation job openings:
What are the most commonly searched types of Amazon Data Annotation jobs? The most popular types of Amazon Data Annotation jobs are:
What states have the most Entry Level Amazon Data Annotation jobs? States with the most job openings for Entry Level Amazon Data Annotation jobs include:
What job categories do people searching Entry Level Amazon Data Annotation jobs look for? The top searched job categories for Entry Level Amazon Data Annotation jobs are:
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.
Catalog Specialist, RCX

Catalog Specialist, RCX

Amazon

Bellevue, WA • On-site

Full-time

Medical, Retirement

Posted 19 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

In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to 'making zero happen' - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line.
WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon's products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems.
Amazon is Earth's most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team!
We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development - all helping to delight our customers through new experiences throughout their 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 evaluate ML models effectively
• Support data scientists in the development of classification algorithms
• Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines
• Maintain high-quality standards for annotated data to optimize model performance
• Continuously evaluate and improve annotation processes to enhance efficiency and accuracy
• Strong analytical skills and the ability to deep-dive on complex problems
• Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills
BASIC QUALIFICATIONS
- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
PREFERRED QUALIFICATIONS
- 1+ years of proven experience in data annotation and labeling for ML model training and evaluation
- Experience working on the MTurk or Sagemaker platform for data annotation tasks
- Understanding of data annotation methodologies and tools
- Familiarity with Amazon's product and category ecosystem
- Previous exposure to machine learning concepts and algorithms
- Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, WA, Bellevue - 21.00 - 30.00 USD hourly

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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