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Amazon Data Annotation Jobs (NOW HIRING)

MethodHub

Data Labeler / Data Annotator

Tampa, FL · On-site

Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth. * Strong attention to detail.

Dyna Robotics, Inc

Our Data Annotation team turns raw teleoperation footage into the labels our imitation learning ... Our team brings together engineers and researchers from Google, Meta, Apple, Amazon, Cruise, Aurora ...

Telus Digital

$165K - $225K/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 - $225K/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

What is an Amazon Data Annotation?

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 does an Amazon Data Annotation do?

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 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.

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Amazon Data Annotation jobs near you
Infographic showing various Amazon Data Annotation job openings in the United States as of September 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution.

Data Labeler / Data Annotator

Tampa, FL • On-site

MethodHub
IT Services • 51 - 200 employees
Learn more about MethodHubexternal

Other

Posted 9 days ago

Job description

Data Labeler / Data Annotator

Location: Tampa, FL (5 days Onsite)
Duration: Long-term Contract

  • Perform detailed data annotation and classification activities based on project-specific labeling guidelines and business rules.
  • Experience in preparing, labeling, reviewing, and validating large datasets used for machine learning and artificial intelligence applications.
  • Experience with text, image, video, audio, and document annotation.
  • Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth.
  • Strong attention to detail.
  • Ability to follow detailed business rules.
  • Healthcare/insurance/payment domain knowledge as an advantage

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