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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 Aug 2, 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.

Will Amazon pay you $28 an hour to work from home?

Entry level Amazon data annotation jobs typically do not pay $28 an hour; wages are usually lower and depend on the specific task, experience, and company policies. These roles often involve labeling data for machine learning and may require basic computer skills and attention to detail. Pay rates vary and are generally less than $28 per hour for entry-level positions.

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.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $10 and $15 per hour for entry-level positions. Compensation can vary based on location, experience, and the complexity of annotation tasks, which often involve using specialized tools and adhering to quality standards.

Is it easy to get hired for data annotation?

Entry level Amazon data annotation jobs are generally accessible to candidates with basic computer skills and attention to detail. The hiring process often involves simple assessments or training, making it relatively straightforward for those interested in starting a data annotation career.

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.

Can I do data annotation with no experience?

Entry level Amazon data annotation jobs typically do not require prior experience, as training is often provided to teach the necessary skills. Basic computer literacy and attention to detail are usually sufficient to start, and familiarity with annotation tools can be helpful. These roles are suitable for beginners looking to gain experience in data labeling and machine learning workflows.
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What cities are hiring for Entry Level Amazon Data Annotation jobs? Cities with the most Entry Level Amazon Data Annotation job openings:
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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:
Entry Level Amazon Data Annotation jobs near you
Infographic showing various Entry Level Amazon Data Annotation job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Amazon Core Search Organization - Language Engineer, Core Search

Amazon

Seattle, WA

Full-time

Re-posted 2 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,045 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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