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Overnight Amazon Data Annotation Jobs in Florida

Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth * Basic understanding of AI/ML ...

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.

Establish best practices for annotation quality management, training data curation, active learning ... Handsโ€‘on experience with AWS SageMaker and Amazon Bedrock, including building, training, tuning ...

Establish best practices for annotation quality management, training data curation, active learning ... Hands-on experience with AWS SageMaker and Amazon Bedrock, including building, training, tuning ...

Establish best practices for annotation quality management, training data curation, active learning ... Hands-on experience with AWS SageMaker and Amazon Bedrock, including building, training, tuning ...

Establish best practices for annotation quality management, training data curation, active learning ... Handsโ€‘on experience with AWS SageMaker and Amazon Bedrock, including building, training, tuning ...

Establish best practices for annotation quality management, training data curation, active learning ... Hands-on experience with AWS SageMaker and Amazon Bedrock, including building, training, tuning ...

Establish best practices for annotation quality management, training data curation, active learning ... Hands-on experience with AWS SageMaker and Amazon Bedrock, including building, training, tuning ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

Our Worldwide Operations network delivers millions of packages and smiles to Amazon customers every ... data-driven decisions and analytical problem-solving. Our Operation's workflow has three major ...

Overnight Shift Leadership: Provide direct leadership, coaching, and mentorship to both technical ... Data-Driven Operations: Support the analysis, documentation, and reporting of fleet data to aid in ...

Overnight Shift Leadership: Provide direct leadership, coaching, and mentorship to both technical ... Data-Driven Operations: Support the analysis, documentation, and reporting of fleet data to aid in ...

Overnight Shift Leadership: Provide direct leadership, coaching, and mentorship to both technical ... Data-Driven Operations: Support the analysis, documentation, and reporting of fleet data to aid in ...

... as Amazon, Siemens, Geico and Chick-fil-A, to individual learners seeking to enter, sustain or ... overnight, second day). โ€ข Respond to and resolve assigned tickets in a timely manner, including ...

Overnight Amazon Data Annotation information

What is the difference between Overnight Amazon Data Annotation vs Data Labeling Specialist?

AspectOvernight Amazon Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hours, overnight shiftsRemote or on-site, flexible hours
Industry UsagePrimarily e-commerce, AI training for AmazonVarious industries including AI, healthcare, automotive
Search & Comparison IntentUnderstanding overnight annotation roles for AmazonGeneral data labeling roles across industries

Overnight Amazon Data Annotation involves labeling data specifically for Amazon's AI and machine learning needs, often during overnight shifts. Data Labeling Specialist is a broader role that includes labeling data for various industries and projects, not limited to Amazon. Both roles require attention to detail and basic technical skills, but Overnight Amazon Data Annotation is more specialized for Amazon's e-commerce and AI training purposes.

What are the most commonly searched types of Amazon Data Annotation jobs in Florida?

The most popular types of Amazon Data Annotation jobs in Florida are:

What are popular job titles related to Overnight Amazon Data Annotation jobs in Florida?

For Overnight Amazon Data Annotation jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Overnight Amazon Data Annotation jobs in Florida look for?

The top searched job categories for Overnight Amazon Data Annotation jobs in Florida are:

What cities in Florida are hiring for Overnight Amazon Data Annotation jobs?

Cities in Florida with the most Overnight Amazon Data Annotation job openings:

Infographic showing various Overnight Amazon Data Annotation job openings in Florida as of June 2026, with employment types broken down into 65% Full Time, 30% Part Time, and 5% Contract. Highlights an 90% Physical, and 10% Remote job distribution.

Healthcare Data Annotator

Tampa, FL โ€ข On-site

MethodHub
IT Servicesย โ€ขย 51 - 200 employees

Other

This job post hasย expired 3 days ago.ย Applications are no longer accepted.


Job description

Healthcare Data Labeler / Data Annotator


Location: Tampa, FL (5 days onsite)

Duration: Long-term Contract


Description and Skills:

  • 4-6 years of experience in data labeling/annotation.
  • 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
  • Basic understanding of AI/ML data preparation
  • Health Insurance/Healthcare/payment domain knowledge is an advantage