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Data Annotation Law Jobs in Phoenix, AZ (NOW HIRING)

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Data Annotation Law information

What is data annotation law?

Data Annotation Law refers to the legal frameworks and regulations that govern the process of labeling, tagging, or categorizing data for use in machine learning and artificial intelligence applications. These laws address issues such as data privacy, intellectual property, consent, and the ethical use of annotated data. Data Annotation Law ensures that organizations handle data responsibly and comply with national and international standards when using human annotators or automated systems. It is crucial for companies to understand these legal requirements to avoid potential legal liabilities and protect the rights of data subjects.

What are the key skills and qualifications needed to thrive as a data annotation specialist?

To thrive as a Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and a basic understanding of data labeling protocols, often supported by a high school diploma or relevant training. Familiarity with data annotation tools like Labelbox, Supervisely, or CVAT, as well as knowledge of data privacy regulations, is typically required. Excellent communication, time management, and consistency are vital soft skills for collaborating with teams and maintaining annotation quality. These skills ensure accurate, reliable data labeling, which is critical for developing effective machine learning models.

What are some common challenges faced by professionals working in data annotation for the legal industry, and how can they be addressed?

Professionals in data annotation law often encounter challenges such as interpreting complex legal language, ensuring consistency and accuracy in labeling, and maintaining confidentiality with sensitive information. Collaboration with legal experts and ongoing training in legal terminology are essential to address these issues. Additionally, many organizations implement rigorous quality assurance processes and utilize annotation guidelines to help annotators navigate ambiguous cases and improve overall data quality.

What is the difference between Data Annotation Law vs Data Labeler?

AspectData Annotation LawData Labeler
CredentialsLegal knowledge, compliance certificationsBasic training, attention to detail
Work EnvironmentLegal offices, compliance departmentsData annotation platforms, remote or office settings
Industry UsageLegal, AI compliance, data privacyAI training, machine learning datasets
Search & ComparisonLegal roles, compliance in data annotationData labeling, data annotation jobs

Data Annotation Law involves legal expertise ensuring data annotation processes comply with laws and regulations, often requiring legal certifications. Data Labelers focus on annotating data for AI models, typically with basic training. While both roles work within data annotation, Data Annotation Law emphasizes legal compliance, whereas Data Labelers concentrate on data preparation for machine learning.

What are popular job titles related to Data Annotation Law jobs in Phoenix, AZ?

For Data Annotation Law jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Data Annotation Law jobs in Phoenix, AZ look for?

The top searched job categories for Data Annotation Law jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Annotation Law jobs?

Cities near Phoenix, AZ with the most Data Annotation Law job openings:

Data Annotation Law jobs near you
Infographic showing various Data Annotation Law job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Staff Design Verification Engineer

Cirrus Logic

Chandler, AZ • On-site

$133K - $163K/yr

Full-time

Re-posted 13 days ago

Job description

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn't do it without our extraordinary workforce - and that's where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!
We are seeking an experienced and innovative Design Verification Engineer to join a world-class silicon design verification team. This role partners closely with digital and analog designers, systems and applications engineers, firmware/software teams, and manufacturing test to deliver high-quality mixed-signal IC solutions. You will be responsible for end-to-end functional verification across block-level and chip-level designs, contributing to advanced verification methodologies and infrastructure.
This position offers exposure to multiple verification domains including UVM-based testbench development, formal verification, hardware emulation/acceleration, gate-level simulations, and software-driven verification in a highly collaborative and technically rigorous environment.
Responsibilities:
  • Develop comprehensive verification plans aligned with design and system requirements.
  • Perform functional verification of custom mixed-signal ASICs at block and chip level.
  • Design and implement UVM-based testbenches, including infrastructure, scoreboards, checkers, and assertions.
  • Create directed and constrained-random test suites to ensure robust functional coverage.
  • Implement, analyze, and drive functional and code coverage, including coverage closure.
  • Conduct failure analysis, regression triage, and debug, resolving functional and timing-related issues.
  • Run and debug gate-level simulations, including timing violations and back-annotation issues.
  • Develop and maintain digital and mixed-signal behavioral models to support verification.
  • Support verification flow and infrastructure development, including regressions and automation.
  • Collaborate cross-functionally with digital/analog design, systems, applications, firmware/software, and manufacturing test teams.
  • Contribute to both pre-silicon verification and post-silicon validation efforts.
  • Proactively improve verification methodologies, processes, and best practices.

Required Knowledge, Skills, and Experience:
  • Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a related field.
    • Bachelor's with 10+ years of relevant experience.
    • Master's with 8+ years of relevant experience.
    • PhD with 6+ years of relevant experience.
  • Significant industry experience in silicon design and/or ASIC verification.
  • Strong proficiency with HDLs: Verilog and/or VHDL.
  • Strong proficiency with HVLs: SystemVerilog with UVM (or OVM/AVM/Vera).
  • Solid understanding of digital design principles and system architecture.
  • Hands-on experience with:
    • Testbench architecture and stimulus generation.
    • Regression execution and debug.
    • Coverage analysis and closure.
  • Ability to work effectively in a cross-disciplinary, team-oriented environment.

Preferred Knowledge, Skills, and Experience:
  • Experience verifying mixed-signal ASICs in complex SoC environments.
  • Knowledge of signal processing concepts relevant to mixed-signal designs.
  • Experience with SystemVerilog Assertions (SVA).
  • Exposure to or hands-on experience with:
    • Formal verification
    • Hardware emulation or acceleration
    • Software-driven verification
  • Demonstrated ability to evaluate, debug, and improve verification flows and methodologies.

#LI-Hybrid
#LI-EK1
#HOTT
Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.

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