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Data Labelling Jobs in Florida (NOW HIRING)

TSMG

AI/ML Data Contributor

Miami, FL

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 ...

TSMG

AI/ML Data Contributor

Miami, FL · On-site

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 ...

TSMG

AI/ML Data Contributor

Miami, FL

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 ...

TSMG

AI/ML Data Contributor

Miami, FL

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 ...

TSMG

AI/ML Data Contributor

Miami, FL · On-site

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 ...

TSMG

AI/ML Data Contributor

Miami, FL

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 ...

ENSCO, Inc.

Data Engineer III

Melbourne, FL · On-site

This role supports ingestion, processing, storage, labeling, and analysis of time-series acoustic data enabling machine learning, signal processing, monitoring, and operational analytics applications.

Umusic

Manager, Label Operations

Miami Beach, FL · On-site

Data, Reporting & Insights * Build and maintain a marketing data strategy that delivers timely, accurate, and relevant information to the core label team. * Lead the collation, reporting, and ...

ENSCO, Inc.

Data Engineer III

Melbourne, FL · On-site

$73K - $131K/yr

This role supports ingestion, processing, storage, labeling, and analysis of time-series acoustic data enabling machine learning, signal processing, monitoring, and operational analytics applications.

King Ocean Services

Data Entry

Fort Lauderdale, FL · On-site

$16.25 - $21.75/hr

Data entry Coordinator Reports To : Warehouse Supervisor Schedule: Monday - Friday Location: 1300 ... Provides necessary documents for drivers to shuttle OTR and creates equipment labels. * Follows the ...

CCI Systems, Inc.

Data Center Technicians

Miami, FL · On-site

Support structured cabling builds including routing, labeling, and cable management standards. * Execute work in live data center environments, adhering to change control and maintenance windows.

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All JobsData Labelling JobsData Labelling Jobs in Florida

Data Labelling information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data labelling jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data labelling in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the Data Labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are the most commonly searched types of Data Labelling jobs in Florida? The most popular types of Data Labelling jobs in Florida are:
What are popular job titles related to Data Labelling jobs in Florida? For Data Labelling jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Florida look for? The top searched job categories for Data Labelling jobs in Florida are:
What cities in Florida are hiring for Data Labelling jobs? Cities in Florida with the most Data Labelling job openings:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Florida as of June 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 100% In-person job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

AI/ML Data Contributor

TSMG

Miami, FL

Part-time

Posted 4 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.