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Volunteer Data Labeling Analyst Jobs in Florida (NOW HIRING)

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

The specialist will also be responsible for reporting and analyzing data security metrics, advising on data security strategies, and overseeing the execution of data labeling initiatives.

Cross-functional data analytics support . Translate stakeholder needs into clear data ... Giving back to the community - Volunteer days Corient is the world's largest multi-family office ...

Data Risk Analyst Location: Pensacola, FL (Hybrid) Pay Rate: $60/hr. W2. Benefits available ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Data Risk Analyst Location: Pensacola, FL (Hybrid) Pay Rate: $60/hr. W2. Benefits available ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Data Risk Analyst Location: Pensacola, FL (Hybrid) Pay Rate: $60/hr. W2. Benefits available ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Data Risk Analyst Location: Pensacola, FL (Hybrid) Pay Rate: $60/hr. W2. Benefits available ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Data Risk Analyst Location: Pensacola, FL (Hybrid) Pay Rate: $60/hr. W2. Benefits available ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We've got your back with company-paid basic life and AD&D, optional voluntary life and AD&D for you ...

Geophysical Data Analyst Belong. Connect. Grow. with KBR! Around here, we define the future ... We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all ...

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Volunteer Data Labeling Analyst information

What does a volunteer data labeling analyst do?

A Volunteer Data Labeling Analyst assists organizations by reviewing, categorizing, and tagging data—such as images, text, or audio—to help train machine learning models. Their work ensures that the data used for artificial intelligence projects is accurate and well-organized. Volunteers in this role may annotate various types of data, correct errors, and maintain quality standards according to project guidelines. This position is often remote and can be a great way to gain experience in the data science field while supporting important research and development.

What are the key skills and qualifications needed to thrive as a volunteer data labeling analyst?

To thrive as a Volunteer Data Labeling Analyst, you need attention to detail, basic data handling skills, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Experience with data labeling platforms, spreadsheets, and annotation tools like Labelbox or CVAT is typically required. Strong communication, reliability, and the ability to follow instructions help someone excel in collaborative and quality-focused environments. These skills ensure accurate and consistent data labeling, which is critical for developing robust machine learning models.

What are the typical collaboration opportunities for a volunteer data labeling analyst within a project team?

As a Volunteer Data Labeling Analyst, you’ll often work closely with data scientists, machine learning engineers, and project managers to ensure that raw data is accurately categorized for model training. Collaboration typically involves regular check-ins to align on labeling guidelines, resolve ambiguities, and provide feedback on data quality. You may also participate in team meetings to discuss project progress and address any challenges encountered in the labeling process. This collaborative environment not only supports your learning but also helps the team build more robust AI models.

What is the difference between Volunteer Data Labeling Analyst vs Data Annotator?

AspectVolunteer Data Labeling AnalystData Annotator
CredentialsBasic computer skills, sometimes training providedBasic computer skills, often on-the-job training
Work EnvironmentRemote or flexible, volunteer-basedRemote or on-site, paid position
Industry UsageUsed in AI/ML projects, volunteer platformsUsed in AI/ML, tech companies, research

The Volunteer Data Labeling Analyst and Data Annotator roles both involve labeling data for machine learning models. The main difference lies in compensation and commitment: Volunteer Data Labeling Analysts typically work on a volunteer basis, often with flexible hours, while Data Annotators are paid employees or contractors. Both roles require similar skills and are used across AI and tech industries, but the volunteer role emphasizes community contribution without monetary compensation.

What are the most commonly searched types of Data Labeling Analyst jobs in Florida?

The most popular types of Data Labeling Analyst jobs in Florida are:

What are popular job titles related to Volunteer Data Labeling Analyst jobs in Florida?

For Volunteer Data Labeling Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Volunteer Data Labeling Analyst jobs in Florida look for?

The top searched job categories for Volunteer Data Labeling Analyst jobs in Florida are:

What cities in Florida are hiring for Volunteer Data Labeling Analyst jobs?

Cities in Florida with the most Volunteer Data Labeling Analyst job openings:

Infographic showing various Volunteer Data Labeling Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AI/ML Data Contributor

Miami, FL

Part-time

Re-posted 8 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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