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Flexible Amazon Data Annotation Jobs in Florida (NOW HIRING)

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

Sr. Product Manager, Amazon Fuse and MBD

Miami, FL · On-site

$121K - $159K/yr

In any given week, you might be analyzing funnel data to identify drop-off points, brainstorming ... Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid ...

Pharmacy Manager, Amazon Pharmacy

Daytona Beach, FL · On-site

$62.50 - $73.50/hr

... data - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays. - 1 year Staff Pharmacist experience within Amazon Pharmacy (if currently an Amazon employee) PREFERRED ...

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

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Flexible Amazon Data Annotation information

What are the key skills and qualifications needed to thrive as a flexible Amazon data annotation specialist?

To thrive as a Flexible Amazon Data Annotation Specialist, you need strong attention to detail, analytical skills, and the ability to accurately label and categorize data, often supported by at least a high school diploma or equivalent. Familiarity with Amazon's proprietary annotation platforms, basic data management tools, and sometimes workflow tracking systems is typically required. Excellent communication, time management, and the ability to work independently make someone stand out in this position. These skills ensure high-quality, consistent data labeling, which is crucial for training reliable machine learning models and supporting Amazon’s AI-driven products.

What are some common challenges faced in a flexible Amazon data annotation role, and how can I prepare for them?

In a Flexible Amazon Data Annotation role, one common challenge is maintaining high accuracy while working with large volumes of data, often under tight deadlines. Adapting to evolving project guidelines and learning to use proprietary annotation tools efficiently are also typical hurdles. To prepare, familiarize yourself with data labeling best practices, develop strong attention to detail, and practice time management to ensure consistent productivity. Being proactive in seeking clarification when guidelines change and participating in any available training can also help you excel in the role.

How much do flexible Amazon data annotation jobs pay?

Flexible Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the tasks and the platform used. Pay rates can vary based on experience, the specific project, and whether the work is freelance or through a staffing agency.

What is a flexible Amazon data annotation?

A Flexible Amazon Data Annotation job involves labeling, categorizing, or identifying data (such as text, images, or videos) to help train artificial intelligence and machine learning models used by Amazon. Workers perform these tasks remotely and can often choose their own hours, making the job flexible and suitable for people seeking part-time or supplemental work. The tasks may include tagging products, categorizing content, or transcribing information, depending on the project requirements. Attention to detail and accuracy are important, as annotated data directly impacts the performance of Amazon's AI systems.

What is the difference between Flexible Amazon Data Annotation vs Data Labeler?

AspectFlexible Amazon Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAmazon and e-commerce platformsVarious industries including e-commerce, AI training
Job FocusAnnotating data for Amazon AI modelsLabeling data for machine learning models

Flexible Amazon Data Annotation involves annotating data specifically for Amazon's AI systems, often requiring familiarity with Amazon's platform. Data Labelers perform similar tasks across multiple industries, focusing on preparing data for machine learning. Both roles are remote, entry-level, and involve data annotation, but Flexible Amazon Data Annotation is more specialized for Amazon's ecosystem.

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 Flexible Amazon Data Annotation jobs in Florida? For Flexible Amazon Data Annotation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Flexible Amazon Data Annotation jobs in Florida look for? The top searched job categories for Flexible Amazon Data Annotation jobs in Florida are:
What cities in Florida are hiring for Flexible Amazon Data Annotation jobs? Cities in Florida with the most Flexible Amazon Data Annotation job openings:
Infographic showing various Flexible Amazon Data Annotation job openings in Florida as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 84% In-person, 11% Hybrid, and 5% Remote job distribution.

AI/ML Data Contributor

TSMG

Miami, FL • On-site

Part-time

Re-posted 16 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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