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At Home Image Annotation Jobs in Florida (NOW HIRING)

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation ... Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ...

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation ... Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ...

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation ... Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ...

... at Home Hospital Care In Development • 4 Hospitals • 6 Free Standing ERs ***OBGYN and/or ... Assesses diagnostic images for technical quality, proper annotation, and patient identification ...

... at Home Hospital Care In Development • 4 Hospitals • 6 Free Standing ERs ***OBGYN and/or ... Assesses diagnostic images for technical quality, proper annotation, and patient identification ...

Lead the design, development, and production deployment of AI/ML solutions focused on image ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

Lead the design, development, and production deployment of AI/ML solutions focused on image ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

Lead the design, development, and production deployment of AI/ML solutions focused on image ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

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At Home Image Annotation information

See Florida salary details

$10

$15

$21

How much do at home image annotation jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for at home image annotation in Florida is $15.41, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $17.26 per hour, depending on experience, location, and employer.

What is the difference between At Home Image Annotation vs Data Labeler?

AspectAt Home Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageAI training, autonomous vehicles, medical imagingMachine learning, AI datasets, various industries
Job FocusAnnotating images for AI modelsLabeling data for machine learning

Both At Home Image Annotation and Data Labeler roles involve preparing data for AI systems, often working remotely with similar skills. However, At Home Image Annotation specifically emphasizes annotating images, while Data Labeler may include a broader range of data types. The roles are often interchangeable depending on the project, but understanding the specific focus can help in job selection.

What are some common challenges faced by at-home image annotation professionals, and how can they be managed?

At-home image annotation professionals often face challenges such as maintaining focus during repetitive tasks, meeting tight deadlines, and ensuring high accuracy in their work. To manage these, it's helpful to set up a dedicated workspace, use productivity techniques like the Pomodoro method, and regularly review guidelines to minimize errors. Collaborating through online team channels and seeking feedback can also help maintain quality and stay connected with the team, even while working remotely.

What is at home image annotation?

At home image annotation is a remote job where individuals label or tag objects, features, or areas within digital images to help train artificial intelligence (AI) systems. This process involves using specialized software to draw boxes, outlines, or points on images and assign labels to them based on specific instructions. The annotated images are then used by companies to improve machine learning models for tasks such as image recognition, autonomous vehicles, and medical diagnostics. Working from home, annotators usually need a computer, reliable internet, and attention to detail. The job is often flexible and can be done part-time or full-time.

What are the key skills and qualifications needed to thrive as an At Home Image Annotation Specialist, and why are they important?

To thrive as an At Home Image Annotation Specialist, you need attention to detail, strong visual perception, and a basic understanding of data labeling concepts, usually supported by a high school diploma or equivalent. Familiarity with annotation platforms like Labelbox, Supervisely, or VIA, and sometimes experience with basic image editing tools, is often required. Strong self-motivation, communication skills, and the ability to follow complex instructions help individuals excel in remote, independent work environments. These skills ensure high-quality, accurate datasets that are crucial for training reliable computer vision models.
What are the most commonly searched types of Image Annotation jobs in Florida? The most popular types of Image Annotation jobs in Florida are:
What are popular job titles related to At Home Image Annotation jobs in Florida? For At Home Image Annotation jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for At Home Image Annotation jobs? Cities in Florida with the most At Home Image Annotation job openings:

$14 - $18.75/hr

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Company Overview

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.

Position Overview

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.

Responsibilities
  • 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).
Required Experience/Qualifications
  • 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.
Preferred Experience/Qualifications
  • 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.
Special Requirements/Security ClearanceBenefits Overview

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.

Physical Demands
  • 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.
Employment Type: PART_TIME