Zebra Technologies

AI Quality Analyst

Zebra Technologies$122K — $184K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in QA, testing, or data analysis within AI/ML
  • Thorough understanding of the ML lifecycle and AI model failure modes
  • Hands-on experience with data annotation and managing large datasets
  • Strong analytical skills with the ability to identify patterns in data
  • Experience with test automation tools like Selenium and Cypress
  • Scripting skills in Python for automation and data tasks
  • Familiarity with testing AI systems and computer vision domains

Responsibilities

  • Design and maintain test cases and evaluation benchmarks
  • Conduct systematic error analysis and categorize model failures
  • Source and manage high-quality datasets for model testing
  • Perform exploratory testing to identify unexpected model behaviors
  • Set up and troubleshoot testing environments for evaluations
  • Analyze test results and synthesize findings into actionable reports
  • Contribute to continuous improvement of testing methodologies

Benefits

  • Hybrid work flexibility and adaptable hours
  • Summer Flex Fridays and Focus Fridays
  • Annual companywide well-being day
  • Support for continuing education and professional development
  • Access to wellness and healthcare programs
  • Employee assistance program and community service days
Full Job Description
What We're Looking For:
The AI Quality Analyst is a critical role responsible for ensuring the performance, safety, and reliability of our cutting-edge AI/ML models. You will be at the forefront of our development lifecycle, designing and executing comprehensive evaluation strategies to identify model weaknesses, potential biases, and critical edge cases. This role requires a blend of analytical rigor, technical aptitude, and a deep curiosity for how AI models behave in real-world scenarios. You will not just find bugs, but provide the actionable insights that drive model improvement and guide our research and development efforts.Responsibilities
  • Evaluation Strategy & Benchmark Development: Design, develop, and maintain a comprehensive suite of test cases and evaluation benchmarks. Proactively identify potential model failure points, including edge cases, adversarial inputs, and sources of bias.


  • Error Analysis & Failure Triage: Conduct systematic error analysis to categorize model failures and identify underlying patterns. Triage defects, prioritize them based on severity and impact, and work with the development team to ensure resolution.


  • Data Sourcing & Curation: Source, curate, and manage high-quality datasets for model evaluation and testing. This includes performing data annotation and validation to ensure the integrity of our ground-truth data.


  • Exploratory & Adversarial Testing (Red Teaming):Perform unscripted, exploratory testing to discover unexpected model behaviors. Participate in red teaming exercises to intentionally challenge our models and identify potential safety and security vulnerabilities.


  • Test Environment Management: Set up, maintain, and troubleshoot testing and demonstration environments to ensure a stable and reliable evaluation pipeline.


  • Reporting & Insights: Analyze and synthesize test results into clear, actionable reports for both technical and non-technical stakeholders. Translate complex findings into concrete recommendations for model improvement.


  • Process Improvement: Actively participate in post-hoc evaluation reviews and contribute to the continuous improvement of our testing methodologies, tools, and overall quality assurance processes.


Qualifications and Skills
  • Proven experience in a quality assurance, testing, or data analysis role, preferably within the AI/ML domain.
  • A deep understanding of the machine learning lifecycle and the common failure modes of AI models.
  • Hands-on experience with data annotation, data validation, and managing large datasets.
  • Meticulous attention to detail and a methodical approach to problem-solving.
  • Strong analytical skills with the ability to identify patterns in data and draw meaningful conclusions.
  • Expertise with industry-standard test automation tools and libraries (e.g., Selenium, Playwright, Cypress, REST-assured).
  • Experience in testing across different platforms (e.g. comprehensive testing of mobile Android/iOS and web applications)
  • Experience with bug tracking systems (e.g., Jira) and test case management tools.
  • Scripting skills (e.g., Python) for test automation and data manipulation.
  • (Preferred) experience in testing AI systems, including evaluating agentic responses, model performance metrics, and data integrity.
  • Excellent communication skills, with the ability to clearly document bugs and articulate complex technical issues.
  • Familiarity with computer vision or other specific AI domains relevant to our work.


Pay Range:
$122,800.00 - $184,200.00 Annual

Incentive Compensation:
In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan.

Zebra Total Rewards:

Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.

Salary offered will vary depending on your location, job-related skills, knowledge, and experience.

Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards.

Benefits:

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

About Zebra Technologies

Zebra Technologies is a global leader in enterprise mobile computing, data capture, and printing solutions. The company provides hardware and software solutions that enable businesses to improve productivity, increase efficiency, and enhance customer service. Zebra Technologies serves a wide range of industries, including healthcare, retail, manufacturing, transportation and logistics, and government. The company was founded in 1969 and is headquartered in Lincolnshire, Illinois. Zebra Technologies is committed to sustainability and has implemented a number of initiatives to reduce its environmental impact.
Learn more about Zebra Technologies
Size
9,800 employees
Market Cap
$12.9 billion
Industry
Net Income
$504 million
Founded
1991
5 Year Trend
+9.5%
Revenue
$4.4 billion
NASDAQ

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