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Artificial Intelligence Data Annotation Jobs in Arizona

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

... industrial intelligence. ESSENTIAL DUTIES AND RESPONSIBILITIES Algorithm & Model Development ... annotation, validation, and quality assurance. * Stay current with advances in computer vision ...

ClifyX

AWS & Azure Devops Engineer

Chandler, AZ · On-site

$53.75 - $73.75/hr

Our consulting capabilities include expertise in Cloud, Artificial Intelligence, Data Analytics and compliance aspects of Cyber Security development. Work With Us : What makes working at ClifyX so ...

TEKsystems

Data Center Technician

Goodyear, AZ

$33 - $36.30/hr

Data Center Technician - Fiber Infrastructure & IDF Buildouts Location: Phoenix: East and West ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

TEKsystems

Data Center Technician

Goodyear, AZ · On-site

$33 - $36.30/hr

Data Center Technician - Fiber Infrastructure & IDF Buildouts Location: Phoenix: East and West ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

micro1 AI

Legal Counsel, Commercial & Data Rights

Mesa, AZ · On-site +1

$350K - $410K/hr

Experience with data licensing, artificial intelligence, privacy, or data protection. * Familiarity with legal issues surrounding AI systems, data rights, permitted use, and emerging technology.

micro1 AI

Legal Counsel, Commercial & Data Rights

Yuma, AZ · On-site +1

$350K - $410K/hr

Experience with data licensing, artificial intelligence, privacy, or data protection. * Familiarity with legal issues surrounding AI systems, data rights, permitted use, and emerging technology.

EITACIES Inc.

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

EITACIES Inc. is seeking a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. The ... Cybersecurity, Artificial Intelligence, Packaged Enterprise Applications, and Cloud-based ...

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All JobsArtificial Intelligence Data Annotation JobsArtificial Intelligence Data Annotation Jobs in Arizona

Artificial Intelligence Data Annotation information

See Arizona salary details

$23.8K

$94.7K

$184K

How much do artificial intelligence data annotation jobs pay per year?

As of Sep 3, 2026, the average yearly pay for artificial intelligence data annotation in Arizona is $94,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,174.00 and $132,524.00 per year, depending on experience, location, and employer.

What is an artificial intelligence data annotation?

An Artificial Intelligence Data Annotation job involves labeling, tagging, or categorizing data such as text, images, audio, or video to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include bounding box annotation, sentiment analysis, transcription, or entity recognition, depending on the AI application. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing. Attention to detail and familiarity with annotation tools are key skills for this job.

What does an artificial intelligence data annotation do?

Daily responsibilities for an Artificial Intelligence Data Annotation professional typically include reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them according to project guidelines. You may also participate in quality assurance checks, provide feedback to improve annotation processes, and collaborate with data scientists or project managers to clarify labeling standards. Most annotation work requires maintaining strict attention to detail and meeting production quotas or deadlines. Work is often structured individually but may involve collaboration within a larger team, especially when aligning on new guidelines or best practices. This structured, detail-oriented environment supports the development of high-quality training data for AI systems.

What are the key skills and qualifications needed to thrive in artificial intelligence data annotation?

To thrive as an Artificial Intelligence Data Annotation specialist, you need strong attention to detail, proficiency in data labeling, and a basic understanding of machine learning concepts, often supported by a high school diploma or higher. Familiarity with annotation platforms (such as Labelbox or CVAT), spreadsheet software, and sometimes knowledge of programming basics or data formats (like CSV or JSON) is beneficial. Strong communication skills, consistency, and the ability to work both independently and collaboratively are key soft skills for this role. These competencies ensure high-quality, accurate datasets that are critical for training reliable AI models.

What are artificial intelligence data annotation jobs?

Artificial intelligence data annotation jobs involve labeling and categorizing data such as images, videos, text, or audio to help train machine learning models. These roles require attention to detail and often involve using specialized tools or platforms, with tasks typically performed remotely and on flexible schedules.

What are the most commonly searched types of Artificial Intelligence Data Annotation jobs in Arizona?

The most popular types of Artificial Intelligence Data Annotation jobs in Arizona are:

What are popular job titles related to Artificial Intelligence Data Annotation jobs in Arizona?

For Artificial Intelligence Data Annotation jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Data Annotation jobs in Arizona look for?

The top searched job categories for Artificial Intelligence Data Annotation jobs in Arizona are:

What cities in Arizona are hiring for Artificial Intelligence Data Annotation jobs?

Cities in Arizona with the most Artificial Intelligence Data Annotation job openings:

Artificial Intelligence Data Annotation jobs near you
Infographic showing various Artificial Intelligence Data Annotation job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $94,711 per year, or $45.5 per hour.

AI Data Scientist

Prosum Inc.

Phoenix, AZ • On-site

Other

Posted 28 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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