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Remote Ai Labeling Jobs in Georgia (NOW HIRING)

micro1 AI

First-Person AI Video Trainer

Columbus, GA · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Augusta, GA · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Atlanta, GA · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Noor Staffing Group

Head of Growth

Atlanta, GA · Remote

They combine AI-powered media planning, advanced audience intelligence, cross-channel activation ... They also operate as a white-label Media Execution Partner for agencies, consulting firms, and ...

Noor Staffing Group

Head of Growth

Atlanta, GA · Remote

They combine AI-powered media planning, advanced audience intelligence, cross-channel activation ... They also operate as a white-label Media Execution Partner for agencies, consulting firms, and ...

All JobsRemote Ai Labeling JobsRemote Ai Labeling Jobs in Georgia

Remote Ai Labeling information

What is remote AI labeling?

Remote AI labeling is a job where individuals annotate or tag data—such as images, videos, text, or audio—from a remote location, typically their home. This labeled data is used to train artificial intelligence and machine learning models to recognize patterns or make decisions. Tasks may include drawing bounding boxes around objects in photos, transcribing audio, or categorizing content. Remote AI labeling jobs are popular for their flexibility and are essential in industries like autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, though attention to detail is important.

What are some common challenges faced by remote AI labeling specialists, and how can they be addressed?

Remote AI labeling specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and managing tight deadlines. To address these, it's helpful to establish a structured work routine, use productivity tools to minimize distractions, and regularly review the labeling guidelines to avoid errors. Additionally, many companies provide collaborative platforms and regular feedback sessions, which can help clarify expectations and improve overall performance.

What are the key skills and qualifications needed to thrive as a Remote AI Labeling Specialist, and why are they important?

To thrive as a Remote AI Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data annotation principles, often supported by a high school diploma or equivalent. Experience with labeling platforms, image or text annotation tools, and sometimes knowledge of data privacy standards are typically required. Being reliable, self-motivated, and able to communicate clearly helps you consistently deliver accurate work and meet deadlines. These skills ensure high-quality labeled data, which is crucial for training effective AI models.

What is the difference between Remote Ai Labeling vs Remote Data Annotation?

AspectRemote Ai LabelingRemote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI development, machine learningData processing, machine learning
Job FocusLabeling data specifically for AI modelsAnnotating various data types for machine learning

Remote Ai Labeling and Remote Data Annotation are closely related roles in the AI industry. Both involve working remotely with data, but Ai Labeling focuses specifically on labeling data to train AI models, while Data Annotation encompasses a broader range of data types and tasks. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are the most commonly searched types of Ai Labeling jobs in Georgia? The most popular types of Ai Labeling jobs in Georgia are:
What are popular job titles related to Remote Ai Labeling jobs in Georgia? For Remote Ai Labeling jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Ai Labeling jobs in Georgia look for? The top searched job categories for Remote Ai Labeling jobs in Georgia are:
What cities in Georgia are hiring for Remote Ai Labeling jobs? Cities in Georgia with the most Remote Ai Labeling job openings:
Remote Ai Labeling jobs near you
Infographic showing various Remote Ai Labeling job openings in Georgia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Atlanta, GA • Remote

$13/hr

Part-time

Posted 6 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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