Remote AI Data Labeling Jobs

last updated July 14, 2026 19:02 UTC

Remote Talent Cloud

HQ: Cheyenne, WY

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Important! Please submit your application using the link below: ➡️ https://remotetalentcloud.com/apply-ai/

Job Description:
As an AI Training Specialist (Data Annotation), you will help train and enhance artificial intelligence systems. Your work will assist AI models in learning to recognize text, images, and other types of data more accurately.

Key responsibilities include:
– Annotating and organizing data according to detailed project guidelines (e.g., text, images, or short videos)
– Checking and validating data to ensure it is accurate, consistent, and complete
– Spotting and reporting any mistakes, inconsistencies, or unclear information
– Following annotation instructions to produce high-quality results
– Meeting productivity and accuracy goals while respecting project deadlines
– Protecting confidential information and following all data security requirements

Requirements:
We’re seeking detail-focused individuals who can work independently and enjoy organized, precision-driven tasks. The ideal candidate:
– Resides in the United States (this is a fully remote position)
– Has strong attention to detail and excellent organizational skills
– Has reliable internet access and a computer
– Can maintain focus for long periods and follow written instructions
– Can communicate clearly in English in writing
– Prior experience with data annotation, labeling, or transcription is preferred, but not required

Why Apply:
– Fully remote: work from anywhere in the United States
– Full-time and part-time opportunities available
Competitive hourly pay, starting at $20/hour (see the link for details)
– Training provided for all annotation tools and processes
– Practical experience supporting real-world AI training initiatives
– Join a growing remote team focused on advanced technology

How to Apply:
Apply here: https://remotetalentcloud.com/apply-ai/

Apply info ->

To apply for this job, please visit the application page

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