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Data Labelling Jobs in Florida (NOW HIRING)

Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required. Requirements * Strong attention to detail * Clear written communication skills * Reliable ...

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Data Labelling information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data labelling jobs pay per year?

As of Jul 1, 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 does a data labeler do?

A data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. They use tools and guidelines to ensure accurate labeling, which is essential for developing reliable AI systems. Attention to detail and understanding of the data are important for this role.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can offer flexible schedules and opportunities to develop skills in AI and data management, but typically involves repetitive tasks and lower pay compared to more advanced tech roles.

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 is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations for AI training. It is often performed remotely and may involve repetitive tasks with a focus on accuracy.

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.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools like Labelbox or CVAT and understand data privacy requirements. Basic skills in image, text, or audio annotation are helpful, and some roles may require attention to detail and the ability to follow guidelines. Entry-level positions often provide training, making it accessible for beginners.
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 cities in Florida are hiring for Data Labelling jobs? Cities in Florida with the most Data Labelling job openings:
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.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Fort Myers, FL • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements

  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms

What We Offer

  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.