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Work From Home Remote Data Labeling Jobs in Texas

HMG Careers

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

HMG Careers

Work From Home Sales Specialist

Merkel, TX · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

HMG Careers

Work From Home Sales Specialist

Munday, TX · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

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Work From Home Remote Data Labeling information

What is the difference between Work From Home Remote Data Labeling vs Work From Home Remote Data Annotation?

AspectWork From Home Remote Data LabelingWork From Home Remote Data Annotation
Primary TaskLabeling data such as images, videos, or text for machine learningAnnotating data with detailed tags or notes for AI training
Required SkillsBasic understanding of data types, attention to detailSimilar skills, often requiring more specific annotation tools knowledge
Work EnvironmentRemote, flexible hours, online platformsRemote, similar environment, often on the same platforms
Industry UsageCommon in AI and machine learning sectorsUsed in AI, computer vision, NLP projects

Both roles involve remote data work for AI training, with slight differences in task complexity and terminology. Data labeling generally refers to broad categorization, while data annotation involves detailed tagging. They are often used interchangeably but may vary by employer.

How can I get started in work from home remote data labeling?

To start as a remote data labeler, you should develop basic skills in data annotation and familiarize yourself with labeling tools such as Labelbox or Amazon SageMaker Ground Truth. Many companies require a reliable internet connection, attention to detail, and sometimes a simple test or onboarding process before beginning work from home. Gaining experience through online courses or practice datasets can improve your chances of securing a position.

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Work From Home Remote Data Labeling jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Dallas, TX • On-site, Remote

$20/hr

Contractor

Re-posted 5 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

Apply