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Data Annotation Engineer Jobs in Arizona (NOW HIRING)

... engineer. Work is completed through use of CAD software, interpreting constraints and providing back annotation. Further duties include project documentation, packaging verification and data ...

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

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Data Annotation Engineer information

See Arizona salary details

$48K

$137.4K

$183.6K

How much do data annotation engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data annotation engineer in Arizona is $137,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $182,600.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Arizona? For Data Annotation Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Arizona look for? The top searched job categories for Data Annotation Engineer jobs in Arizona are:
What cities in Arizona are hiring for Data Annotation Engineer jobs? Cities in Arizona with the most Data Annotation Engineer job openings:
Infographic showing various Data Annotation Engineer job openings in Arizona as of June 2026, with employment types broken down into 68% Full Time, 9% Part Time, and 23% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $137,417 per year, or $66.1 per hour.
Layout Designer | DCC DAC

Other

Posted 15 days ago


Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

40th of 139 rated electronics manufacturers


Job description

Change the world. Love your job.

Texas Instruments is seeking an experienced Layout Designer to join our team! Responsibilities include:

As a member of the development team the layout designer will be responsible for:
Developing and preparing layout drawings of the analog and digital semiconductor devices.
Creating the drawings from schematics and related geometry as provided by the circuit design engineer.
Work is completed through use of CAD software, interpreting constraints and providing back annotation.
Further duties include project documentation, packaging verification and data management.
Skills include checking dimensions, interpreting design rules, writing specifications, and verifying completed drawings.

Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Minimum requirements:

  • Minimum education Assosciate Degree
  • Minimum of 4 years of experience.

Preferred qualifications:

  • Good listner with Strong verbal and written communication skills
  • Ability to work in teams and collaborate effectively with people in different functions
  • Ability to take the initiative and drive for results
  • Strong time management skills that enable on-time project delivery
  • Working well in a team environment is imperative in this role
  • Demonstrated ability to build strong, influential relationships


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Texas Instruments logo

About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930