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Data Annotation Tech Jobs in Florida (NOW HIRING)

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

By Light Professional IT Services LLC readies warfighters and federal agencies with technology and ... Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Lead the integration and optimization of OCR technology and generative AI capabilities into the ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Lead the integration and optimization of OCR technology and generative AI capabilities into the ...

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Lead the integration and optimization of OCR technology and generative AI capabilities into the ...

... tech who provides quality patient care when performing diagnostic general/or vascular sonographic ... Data Analysis - Analyze acquired images and recordings to identify abnormalities, measurements, and ...

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Data Annotation Tech information

See Florida salary details

$9

$17

$26

How much do data annotation tech jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data annotation tech in Florida is $17.07, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $20.29 per hour, depending on experience, location, and employer.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

Is data annotation real or fake?

Data annotation is a legitimate job involving labeling data such as images, text, or audio to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Job availability can vary by industry and region but generally remains steady due to ongoing AI development needs.

How much does data annotation tech pay?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level roles may pay closer to minimum wage, while experienced workers or those with specialized skills can earn higher wages. Some positions offer freelance or remote work with flexible pay rates.

Does data annotation really pay you?

Data annotation jobs typically pay hourly or per task, with rates varying based on the platform, complexity of the work, and experience. Many companies and platforms offer remote work opportunities, and pay can range from minimum wage to higher rates for specialized skills or faster completion times.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What are the most commonly searched types of Data Annotation Tech jobs in Florida? The most popular types of Data Annotation Tech jobs in Florida are:
What are popular job titles related to Data Annotation Tech jobs in Florida? For Data Annotation Tech jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Florida look for? The top searched job categories for Data Annotation Tech jobs in Florida are:
What cities in Florida are hiring for Data Annotation Tech jobs? Cities in Florida with the most Data Annotation Tech job openings:
Infographic showing various Data Annotation Tech job openings in Florida as of June 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Temporary. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $35,505 per year, or $17.1 per hour.

$14 - $18.75/hr

Internship

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide. 

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains.  CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.


We are seeking a motivated intern to support the development of military training solutions. This position provides hands-on exposure while contributing directly to computer vision training pipelines through systematic image annotation. The intern will serve as a test subject in controlled, safe training scenarios.


  • Image Annotation for Computer Vision Training (Primary Duty):
    • Annotate images and video frames using designated labeling tools to support computer vision model development.
    • Apply bounding boxes, segmentation masks, keypoints, and classification tags per project specifications.
    • Maintain annotation accuracy and consistency in accordance with quality control standards.
    • Participate in adjudication reviews to reconcile annotation discrepancies.
    • Track annotation throughput and report progress to the project lead.
  • Test Target Participation:
    • Serve as a human test target in controlled training scenarios (safe, zero emissions, non-hazardous environments).
    • Support data collection activities including motion capture, imaging, and sensor exercises.
    • Follow all safety protocols and standard operating procedures during test events.
    • Provide structured feedback on participant experience to improve training realism.
  • Professional Environment Exposure:
    • Observe and participate in professional Military Environment workflows and briefings as a learning opportunity.
    • Shadow subject matter experts to build contextual understanding of training solution requirements.
    • Attend relevant team meetings, reviews, and demonstrations (non-operational, non-ME tasked).

  • Currently enrolled in an accredited undergraduate or graduate program (any relevant field).
  • Strong attention to detail and ability to perform repetitive precision tasks accurately.
  • Comfortable working in a structured, team-oriented professional environment.

  • Prior experience with image annotation platforms (e.g., CVAT, Labelbox, Scale AI, Roboflow).
  • Background in computer science, data science, cognitive science, or related discipline.
  • Familiarity with machine learning concepts or computer vision applications.

CESI recognizes that our strength is our people. We support every employee as an individual to build strong teams across the enterprise.  Our benefit package includes:

  • Medical, Dental & Vision Coverage
  • Wellness Program
  • 401(k) Matching
  • Disability (Short Term & Long Term)
  • Employee Assistance Program
  • Education & Training
  • Generous Leave Policy (11 Federal Holidays, PTO, Military Leave, Bereavement and Jury Duty)

CESI is committed to principles of inclusion and equal employment opportunity.  We foster a non-discriminatory, professional work environment for all our teams.  We do not discriminate based on race, color, religion, sex, pregnancy, sexual orientation, gender identity, genetic information, national origin, age, marital status, disability, or veteran status.


  • Office and controlled field environments; no hazardous emissions or exposure.
  • Test events are safe, scripted, and supervised by trained personnel.
  • Standard business hours with occasional schedule flexibility for test events.
  • Personal Protective Equipment (PPE) provided as required for test participation.