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Ai Data Annotation Remote Jobs (NOW HIRING)

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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What is an AI data annotation remote?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the AI data annotation remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

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Ai Data Annotation Remote jobs near you
Infographic showing various Ai Data Annotation Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

AI Data Annotation Expert - Remote

New York, NY • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

Full-time

Posted 4 days ago

Job description

Generalist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for Generalists with strong analytical and critical-thinking skills to support AI and data-focused projects. The role involves reviewing, evaluating, and annotating information across different topics while maintaining high accuracy and quality.

Key Responsibilities
  • Analyze, review, and annotate various types of data.
  • Evaluate and improve AI-generated content and responses.
  • Provide clear, accurate written feedback and insights.
  • Perform problem-solving tasks across multiple domains.
  • Follow project guidelines and quality standards.
  • Collaborate effectively with remote teams.
  • Meet deadlines while maintaining strong attention to detail.
Requirements
  • Strong written and verbal English communication skills.
  • Excellent critical-thinking and analytical abilities.
  • High attention to detail and accuracy.
  • Experience in data annotation or labeling is a plus.
  • Strong time management and ability to work independently.
  • Comfortable working in a remote environment.