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Data Labeling Jobs in Arizona (NOW HIRING)

Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is ... Interact with team members to help us improve on the design of an efficient labeling interface

Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required. Requirements * Strong attention to detail * Clear written communication skills * Reliable ...

Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required. Requirements * Strong attention to detail * Clear written communication skills * Reliable ...

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Data Labeling information

See Arizona salary details

$10

$23

$56

How much do data labeling jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data labeling in Arizona is $23.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.64 and $27.31 per hour, depending on experience, location, and employer.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

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

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

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

The most popular types of Data Labeling jobs in Arizona are:

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

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

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

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

What cities in Arizona are hiring for Data Labeling jobs?

Cities in Arizona with the most Data Labeling job openings:

Infographic showing various Data Labeling job openings in Arizona as of August 2026, with employment types broken down into 74% Full Time, 7% Part Time, 7% Temporary, and 12% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $49,496 per year, or $23.8 per hour.

Data Labeler

Tesla

Tempe, AZ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 689 frontline employees who took The Breakroom Quiz

1st of 45 rated automakers


Job description

What to Expect

We are looking for a driven team member to contribute to the development of our Tesla AIsoftware at Tesla to build a world of amazing abundance.This person labels images & videos that contribute to our deep learning network. In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors.

Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is adaptable, can apply logic to multiple different scenarios, is attentive to detail, has experience with computers and other software, and enjoys a fast-paced work environment. This team provides all onsite training to help you be successful in this role.

This is a full-time, on-site position.

Shift: 09:00AM - 05:30PM; Monday - Friday

What You'll Do
  • Use in-house tools to label images for the Tesla AI team
  • Interact with team members to help us improve on the design of an efficient labeling interface
  • Gain basic computer vision and machine learning knowledge to better understand howthe labels are used by our learning algorithms
  • Make judgement calls on difficult edge cases that might come up during labeling

What You'll Bring
  • Must have working knowledge of the laws and rules of the road
  • Passionate and curious about technology
  • Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments
  • Able to follow directions, detail-oriented, patient, and quality focused
  • Communicate clearly using excellent written and verbal skills
  • Must be reliable, have initiative, and professional while able to work independently and on a team
  • Proficient in Microsoft Office Suite

Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

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