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Image Annotation Jobs in Arizona (NOW HIRING)

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Develop object detection and image classification algorithms to identify micro-scale defects such ... annotation, validation, and quality assurance. * Stay current with advances in computer vision ...

HonorHealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

HonorHealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

HonorHealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

Honorhealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

HonorHealth

Radiologic Tech

Tempe, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Honorhealth

Radiologic Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech - Float Pool

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Honorhealth

Radiologic Tech - Float Pool

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Scottsdale, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Honorhealth

Radiologic Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Honorhealth

Radiologic Tech

Phoenix, AZ

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Phoenix, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Scottsdale, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Cath Lab Tech Float Pool

Phoenix, AZ · On-site

$2.2K - $3.0K/wk

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Tempe, AZ · On-site

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

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All JobsImage Annotation JobsImage Annotation Jobs in Arizona

Image Annotation information

See Arizona salary details

$707

$2K

$2.9K

How much do image annotation jobs pay per week?

As of Aug 11, 2026, the average weekly pay for image annotation in Arizona is $1,972.62, according to ZipRecruiter salary data. Most workers in this role earn between $1,451.92 and $2,455.77 per week, depending on experience, location, and employer.

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 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 most commonly searched types of Image Annotation jobs in Arizona? The most popular types of Image Annotation jobs in Arizona are:
What are popular job titles related to Image Annotation jobs in Arizona? For Image Annotation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Image Annotation jobs in Arizona look for? The top searched job categories for Image Annotation jobs in Arizona are:
What cities in Arizona are hiring for Image Annotation jobs? Cities in Arizona with the most Image Annotation job openings:
Image Annotation jobs near you
Infographic showing various Image Annotation job openings in Arizona as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $102,576 per year, or $49.3 per hour.

AI Data Scientist

Prosum Inc.

Phoenix, AZ • On-site

Other

Posted 4 days ago

Job description

Job Description
Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote.
The AI Data Scientist will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Algorithm & Model Development
  • Design, train, and optimize deep learning and computer vision models for automated defect detection and classification.
  • Develop object detection and image classification algorithms to identify micro-scale defects such as particles, scratches, and pattern anomalies.
Die-to-Database (DB) Comparison
  • Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.
  • Improve alignment accuracy and robustness under varying imaging conditions.
Advanced Data Analytics
  • Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
  • Analyze large, noisy datasets to optimize signal-to-noise ratio and model performance.
Model Development & Continuous Improvement
  • Evaluate model performance using real-world inspection data and analyze edge cases.
  • Improve model accuracy through iterative training, active learning, and few-shot learning techniques.
  • Collaborate with software engineers, field application teams, and domain experts to deploy and validate production-ready AI models.
Miscellaneous Responsibilities
  • Document algorithms, experiments, and model performance results.
  • Participate in code reviews, technical discussions, and knowledge sharing.
  • Assist with data preparation, annotation, validation, and quality assurance.
  • Stay current with advances in computer vision, machine learning, and AI technologies.
  • Collaborate with cross-functional teams to support product development and model deployment.
  • Perform other duties as assigned.

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