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Artificial Intelligence Data Annotation Jobs in Arizona

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related technical field; a master's degree is a plus. * Experience across the AI/ML product ...

This role also promotes innovation through the responsible use of artificial intelligence, data storytelling, and advanced analytics to improve fraud outcomes, enhance customer experiences, and ...

New

Apply modern artificial intelligence and machine learning techniques, including large language ... Evaluate data quality, model performance, and AI system limitations while ensuring responsible ...

Work with data teams to source required data and refine as needed for analyses * Learn the business ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Work with data teams to source required data and refine as needed for analyses * Learn the business ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

New

Work with data teams to source required data and refine as needed for analyses * Learn the business ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Showing results 21-40

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 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:

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.

Agentic Software Engineering Solutions Lead

Deloitte

Gilbert, AZ • On-site

Full-time

Posted 27 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

 

Work you'll do

As a Delivery Senior Consultant, Software Engineering Solutions on the Deloitte Government & Public Services team, you will be responsible for...

  • Lead intake, prioritization, sequencing, and delivery planning across AI-enabled software and engineering workstreams
  • Translate stakeholder objectives into actionable requirements, user stories, acceptance criteria, and delivery plans
  • Coordinate dependencies across technical teams and stakeholders to maintain delivery flow and resolve blockers
  • Oversee quality, completeness, and readiness of deliverables before release to client stakeholders
  • Guide teams on software development life cycle practices, prompt engineering approaches, systems thinking, and delivery execution

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others
 

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

 

Qualifications

Required:

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Business Analytics, or Mathematics
  • 8+ years of experience in software engineering, software delivery, or technical program delivery
  • 3+ years of experience leading engineering teams, delivery teams, or technical workstreams
  • Experience defining requirements, user stories, acceptance criteria, and delivery plans for software or artificial intelligence solutions
  • Experience with generative artificial intelligence, prompt engineering, software development life cycle processes, and systems-based problem solving
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg).
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred:

  • Experience supporting federal, state, local government, or higher education clients
  • Experience with Agile, Scrum, or Kanban delivery frameworks
  • Experience managing artificial intelligence, data, analytics, or platform implementation programs
  • Experience using Jira, Azure DevOps, or similar work management tools
  • Master's degree in Computer Science, Information Systems, Business Analytics, or Business Administration
  • Project Management Professional (PMP), Certified ScrumMaster (CSM), or SAFe certification

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

 

Work you'll do

As a Delivery Senior Consultant, Software Engineering Solutions on the Deloitte Government & Public Services team, you will be responsible for...

  • Lead intake, prioritization, sequencing, and delivery planning across AI-enabled software and engineering workstreams
  • Translate stakeholder objectives into actionable requirements, user stories, acceptance criteria, and delivery plans
  • Coordinate dependencies across technical teams and stakeholders to maintain delivery flow and resolve blockers
  • Oversee quality, completeness, and readiness of deliverables before release to client stakeholders
  • Guide teams on software development life cycle practices, prompt engineering approaches, systems thinking, and delivery execution

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others
 

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

 

Qualifications

Required:

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Business Analytics, or Mathematics
  • 8+ years of experience in software engineering, software delivery, or technical program delivery
  • 3+ years of experience leading engineering teams, delivery teams, or technical workstreams
  • Experience defining requirements, user stories, acceptance criteria, and delivery plans for software or artificial intelligence solutions
  • Experience with generative artificial intelligence, prompt engineering, software development life cycle processes, and systems-based problem solving
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg).
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred:

  • Experience supporting federal, state, local government, or higher education clients
  • Experience with Agile, Scrum, or Kanban delivery frameworks
  • Experience managing artificial intelligence, data, analytics, or platform implementation programs
  • Experience using Jira, Azure DevOps, or similar work management tools
  • Master's degree in Computer Science, Information Systems, Business Analytics, or Business Administration
  • Project Management Professional (PMP), Certified ScrumMaster (CSM), or SAFe certification

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

Education:Bachelor's DegreeEmployment Type:

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