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Flexible Work From Home Data Annotation information

What is the difference between Flexible Work From Home Data Annotation vs Data Labeler?

AspectFlexible Work From Home Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI, machine learning projectsUsed in AI, machine learning, and data processing
Job FocusAnnotating various data types like images, text, audioLabeling data for training AI models

Flexible Work From Home Data Annotation involves annotating diverse data types remotely with flexible hours, primarily for AI and machine learning projects. Data Labeler roles also focus on data annotation but may be more specialized or vary slightly in scope. Both roles share similar credentials and work environments, making them closely related in the industry.

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Flexible Work From Home Data Annotation jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Miami, FL • Remote

$20/hr

Full-time, Part-time

Posted 17 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology