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Remote Entry Level Data Annotation Jobs in Orlando, FL

American Income Life

Remote Sales

Orlando, FL · Remote

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

American Income Life

Virtual Sales

Orlando, FL · Remote

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

American Income Life

Sales Associate

Orlando, FL · Remote

$14.25 - $19.50/hr

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

American Income Life

Sales Representative

Orlando, FL · Remote

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

Lumbra Risk Advisors, LLC

Benefits Associate

Orlando, FL · Remote

$40K - $45K/yr

We are looking for a quick learner who can master complex data while serving as a professional ... Position Overview We are seeking a motivated Entry-Level Insurance Associate to join our Orlando ...

All JobsData Annotation JobsRemote Entry Level Data Annotation JobsRemote Entry Level Data Annotation Jobs in Orlando, FL

Remote Entry Level Data Annotation information

See Orlando, FL salary details

$10

$18

$29

How much do remote entry level data annotation jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote entry level data annotation in Orlando, FL is $18.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.43 per hour, depending on experience, location, and employer.

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

What are the key skills and qualifications needed to thrive as a remote entry level data annotation?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by remote entry level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are popular job titles related to Remote Entry Level Data Annotation jobs in Orlando, FL?

For Remote Entry Level Data Annotation jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Annotation jobs in Orlando, FL look for?

The top searched job categories for Remote Entry Level Data Annotation jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Remote Entry Level Data Annotation jobs?

Cities near Orlando, FL with the most Remote Entry Level Data Annotation job openings:

Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,300 per year, or $18.9 per hour.

Record Your Daily Routine & Get Paid - AI Training (Remote)

Mindrift - Data annotation

Orlando, FL • Remote

$10/hr

Part-time

Re-posted 13 days ago

Job description

This is a project-based opportunity on an AI training platform - not a job. No fixed hours, no commitment beyond what fits your schedule. You record, you get paid.

About the Role

We're looking for people to record point-of-view videos of everyday household activities. You mount your smartphone on your head, go about your routine, and the camera captures exactly what you see. These videos help train AI systems and robots to understand how people interact with objects in real-world environments.
Do you wash dishes every day? Vacuum the rug? Walk the dog? Fold laundry? What if you could get paid just for recording it?

Responsibilities

  • Record everyday household activities from a first-person perspective - cooking, cleaning, tidying up, folding laundry, gardening, walking the dog, and more
  • Record in your own home, yard, garage, or workspace
  • Follow short recording guidelines per session
  • Upload videos through the project app

Requirements

  • Equipment: Own or use a smartphone or alternative camera device capable of 30 FPS or greater and 1080p resolution or greater. iPhone 12 or newer, Google Pixel 6+, or Samsung Galaxy S21+ (must have a wide-angle / 0.5x lens)
  • Capture method: Mount the device at forehead or eye-level for an egocentric perspective, maintaining a downward angle to maximize hand visibility.
  • Software: Utilize the designated "D&A" application for all data capture and upload.
  • Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts useful, intentional tasks without unnecessary pauses or contrived movements.

Why is this freelance opportunity a great fit for you?

Earn while you do your household chores: up to $10 per hour equivalent depending on the project

This is project-based freelance work - pick up recording sessions when they fit your schedule

Influence the future of how AI and robots understand and interact with the real world

Apply