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Work From Home Remote Data Annotation information

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

AspectWork From Home Remote Data AnnotationWork From Home Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, machine learning datasetsAI training, machine learning datasets
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Applying labels to data (e.g., categories, tags)

Both roles involve working remotely to prepare data for AI models, with Data Annotation focusing on adding detailed annotations like bounding boxes, while Data Labeling involves assigning categories or tags. The skills and work environment are similar, making them often interchangeable in job searches.

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Work From Home Remote Data Annotation jobs near you
Infographic showing various Work From Home Remote Data Annotation job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

San Diego, CA • On-site, Remote

$20/hr

Contractor

Re-posted 27 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