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Data Annotation Engineer Jobs in Tempe, AZ (NOW HIRING)

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

... data analysis, including quality control, alignment, variant calling, annotation, filtering ... Collaborate with software engineering and IT teams to support cloud-based infrastructure, workflow ...

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 ...

Showing results 21-35

Data Annotation Engineer information

See Tempe, AZ salary details

$50.1K

$143.5K

$191.7K

How much do data annotation engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data annotation engineer in Tempe, AZ is $143,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $190,700.00 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 as a data annotation engineer?

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.

What is a data annotation engineer?

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 Tempe, AZ?

For Data Annotation Engineer jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Tempe, AZ look for?

The top searched job categories for Data Annotation Engineer jobs in Tempe, AZ are:

What cities near Tempe, AZ are hiring for Data Annotation Engineer jobs?

Cities near Tempe, AZ with the most Data Annotation Engineer job openings:

Infographic showing various Data Annotation Engineer job openings in Tempe, AZ as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $143,503 per year, or $69 per hour.

Staff Design Verification Engineer (AI/ML)

Analog Devices, Inc.

Chandler, AZ • On-site

$110 - $150/hr

Other

Re-posted 3 days ago


Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

33rd of 157 rated electronics manufacturers


Job description

## Staff Design Verification Engineer (AI/ML)Applylocations: US, AZ, Chandler, East Elliotposted on: Posted Todayjob requisition id: R263414**About Analog Devices**Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.## About the RoleAs a Staff Design Verification Engineer, you will develop and execute verification strategies for complex analog and mixed-signal ICs, from test planning through coverage closure. You will apply AI/ML techniques to improve regression efficiency, debug throughput, and coverage analysis. Your work will contribute to product quality and delivery across multiple business units, ensuring ADI's next-generation mixed-signal and power management products meet rigorous quality standards.## Key Responsibilities* Apply AI/ML methodologies for failure clustering, regression triage, anomaly detection, and coverage optimization* Develop and execute verification plans, defining coverage models and success metrics for mixed-signal IC blocks and subsystems* Build and maintain SystemVerilog/UVM testbenches, monitors, scoreboards, and automated checkers for mixed-signal verification* Perform functional coverage analysis and drive coverage closure toward tape-out readiness* Support silicon correlation by comparing simulation expectations against lab measurements and refining tests based on results* Participate in verification reviews, contributing technical analysis on coverage completeness and methodology improvements* Collaborate with design, applications, and test teams to ensure verification reflects real use-cases and operating conditions## Required Skills and Experience* MSEE or MSCE with 7+ years of IC verification experience, or PhD with 5+ years (BSEE/BSCE with equivalent depth considered)* Strong proficiency in SystemVerilog and UVM with experience building coverage-driven verification environments for mixed-signal products* Demonstrated ability to deliver verification through tape-out sign-off and production release* Solid Python scripting skills with experience applying AI/ML techniques to enhance verification productivity* Knowledge of formal verification, assertion-based methodology, and clock domain crossing analysis* Proficiency with Cadence verification tools: Xcelium (simulation), JasperGold (formal verification)* Excellent presentation, technical writing, and communication skills## Preferred Qualifications* Curiosity and initiative to explore AI/ML techniques and emerging tools that can transform verification workflows, with an enthusiasm for discovering more effective ways of working* Experience with mixed-signal and AMS verification techniques including Verilog-AMS, real-number modeling, and behavioral abstraction* Experience with gate-level simulation, SDF back-annotation, and post-layout verification* Strong analytical and problem-solving abilities* Ability to work effectively in a collaborative team environment## Technical Scope* Application of AI/ML-driven workflows for regression analytics, failure classification, and debug acceleration* Block-level and subsystem-level verification ownership from specification analysis through coverage closure* Mixed-signal verification environment development including analog behavioral modeling and digital-analog interface checking* Test plan authoring, coverage model implementation, and regression management## Collaboration and Impact* Share AI/ML-driven improvements to verification workflows and best practices with team members* Work with design, applications, and test teams to translate product requirements into verification coverage that reflects real operating conditions* Contribute to verification reviews and cross-team technical discussions## *For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.**Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.**EEO is the Law: Notice of Applicant Rights Under the Law.*Job Req Type: ExperiencedRequired Travel: NoShift Type: 1st Shift/Days #J-18808-Ljbffr

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About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965