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Remote Labeling Jobs in Miami, FL (NOW HIRING)

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 ...

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 ...

Prior experience contributing to AI training or data labeling projects Why Join Us * Work directly on frontier AI systems with top research labs * Fully remote and flexible - work on your own ...

Familiarity with AI evaluation or data labeling workflows Why Join Us * Work directly on frontier AI systems with top research labs * Fully remote and flexible - work on your own schedule * Freelance ...

This is a fully remote, flexible contract role ideal for audio professionals who want to stay at ... Experience with audio dataset creation, labeling, or AI audio model training * Background in sound ...

Data Protection Engineer

Miami, FL · On-site +1

$109.50K - $131.50K/yr

This role can be remote anywhere in the country. The salary range for this role is $130,000 to $175 ... Define and refine data classification labels, configurations and control parameters. * Ability to ...

Data Protection Engineer

Coral Gables, FL · On-site +1

$109.50K - $131.50K/yr

This role can be remote anywhere in the country. The salary range for this role is $130,000 to $175 ... Define and refine data classification labels, configurations and control parameters. * Ability to ...

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Remote Labeling information

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How much do remote labeling jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote labeling in Miami, FL is $13.36, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $14.71 per hour, depending on experience, location, and employer.

What is a Remote Labeling job?

A Remote Labeling job involves annotating or tagging data, such as images, text, audio, or video, to help train AI models. Labelers follow specific guidelines to categorize data accurately, ensuring machine learning algorithms can recognize patterns. These jobs are typically performed from home using specialized software. Common industries include artificial intelligence, autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, but attention to detail and consistency are essential.

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

To excel in a Remote Labeling role, you should have strong attention to detail, basic computer literacy, and the ability to follow detailed instructions accurately. Familiarity with labeling platforms, data annotation tools, and sometimes knowledge of specific data types (e.g., images, audio, or text) is highly beneficial. Strong time management, communication, and self-motivation are important soft skills for maintaining productivity when working independently. These skills ensure data integrity, meet quality standards, and support effective remote collaboration in a deadline-driven environment.

What does a typical workday look like for someone in a Remote Labeling position?

A typical day in a Remote Labeling role involves reviewing and accurately tagging or annotating various data types, such as images, videos, or text, according to specific guidelines and project requirements. You’ll often interact with cloud-based labeling platforms, complete tasks or batches assigned by a project manager, and submit your work for quality review. Communication with supervisors or team members generally happens via email or team messaging platforms. The work is usually self-paced but deadline-driven, giving you flexibility as long as project goals are met. Successful Remote Labeling professionals stay organized and proactive to manage task volumes and maintain high standards of quality.
What are the most commonly searched types of Labeling jobs in Miami, FL? The most popular types of Labeling jobs in Miami, FL are:
What are popular job titles related to Remote Labeling jobs in Miami, FL? For Remote Labeling jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Labeling jobs in Miami, FL look for? The top searched job categories for Remote Labeling jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Labeling jobs? Cities near Miami, FL with the most Remote Labeling job openings:

AI/ML Data Contributor

TSMG

Miami, FL • Remote

Full-time

Posted 2 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. 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.