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Ai Data Annotation Jobs in Arizona (NOW HIRING)

Medical Coder - Remote

Phoenix, AZ ยท Remote

$50 - $80/hr

Job Title: Medical Coder Job Type: Contractor Location: Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding expertise to an innovative project focused

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives. We introduced

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives. We introduced

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Ai Data Annotation information

What is an AI data annotation?

An AI Data Annotation job involves labeling or tagging data, such as text, images, audio, or video, to train machine learning models. Annotators ensure that data is accurately categorized so AI systems can learn to recognize patterns and make predictions. This work is crucial for improving AI applications like self-driving cars, chatbots, and image recognition software. It often requires attention to detail and familiarity with specific annotation tools.

What does an AI data annotation do?

As an AI Data Annotator, your typical day involves labeling and tagging data such as images, audio, or text according to specific project guidelines, often using specialized annotation software. You may work independently or as part of a remote or on-site team, collaborating with data scientists and quality assurance specialists to ensure consistency and accuracy. Regular feedback sessions and quality checks are common to maintain high annotation standards. The role can be repetitive, but attention to detail and clear communication with team members help create datasets that are crucial for training effective AI systems.

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

To excel in AI Data Annotation, you need strong attention to detail, data accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or similar platforms is often required, and some employers may value basic programming or machine learning course certifications. Excellent communication, the ability to follow detailed guidelines, and time management are valuable soft skills in this role. These skills ensure the production of high-quality annotated datasets, which are critical for training reliable AI and machine learning models.

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

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

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

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

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

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

What cities in Arizona are hiring for Ai Data Annotation jobs?

Cities in Arizona with the most Ai Data Annotation job openings:

Infographic showing various Ai Data Annotation job openings in Arizona as of August 2026, with employment types broken down into 62% Full Time, 26% Part Time, and 12% Contract. Highlights an 54% In-person, and 46% Remote job distribution.