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Image Annotation Jobs in Dallas, TX (NOW HIRING)

YO AI Labs

Radiologist Remote

Dallas, TX · Remote

$15 - $80/hr

Annotation * MediaPipe-Style Hand Topology * Visual Reasoning * Image & Video Analysis * Attention to Detail * Quality Assurance * Protocol & Guideline Compliance

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Image Annotation information

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$751

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$3.1K

How much do image annotation jobs pay per week?

As of Sep 15, 2026, the average weekly pay for image annotation in Dallas, TX is $2,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $1,540.38 and $2,605.77 per week, depending on experience, location, and employer.

What is an image annotation?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

What are the key skills and qualifications needed to thrive in image annotation, and why are they important?

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What are the most commonly searched types of Image Annotation jobs in Dallas, TX?

The most popular types of Image Annotation jobs in Dallas, TX are:

What are popular job titles related to Image Annotation jobs in Dallas, TX?

For Image Annotation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Image Annotation jobs in Dallas, TX look for?

The top searched job categories for Image Annotation jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Image Annotation jobs?

Cities near Dallas, TX with the most Image Annotation job openings:

Image Annotation jobs near you
Infographic showing various Image Annotation job openings in Dallas, TX as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $108,888 per year, or $52.4 per hour.

Radiologist Remote

Dallas, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$15 - $80/hr

Full-time

Posted 9 days ago

Job description

Radiologist – Hand Anatomy Annotation

Role Type: Contractor
Location: Remote

Role Summary

We are seeking Radiologists with strong anatomical knowledge and visual reasoning skills to support an AI training project focused on hand and finger landmark annotation.

Scope of Work
  • Annotate hand and finger landmarks using MediaPipe-style hand topology.
  • Identify wrist, MCP, PIP, DIP, fingertips, and thumb joints.
  • Precisely place anatomical landmarks according to defined guidelines.
  • Analyze partially occluded or difficult hand positions and infer landmark locations.
  • Review images and videos across different hand poses, orientations, and perspectives.
  • Perform quality checks and correct annotation inconsistencies.
Required Skills
  • Anatomy Expertise
  • Annotation
  • MediaPipe-Style Hand Topology
  • Visual Reasoning
  • Image & Video Analysis
  • Attention to Detail
  • Quality Assurance
  • Protocol & Guideline Compliance