ZipRecruiter

Log In

1

Ai Automation Testing Jobs in Hawaii (NOW HIRING)

Servco

Accounting Specialist

Honolulu, HI · On-site

$20.50 - $27.75/hr

... testing, feedback, and adoption of approved system enhancements, including automation and AI-supported capabilities, to support evolving AP processes * Perform other duties as assigned by the ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Required : • 10+ years of experience architecting and delivering AI enabled mission or enterprise ... testing within constrained or limited toolchain environments • 10+ years of experience ...

ProService Hawaii

GTM Engineer

Honolulu, HI · On-site +1

$99K - $137K/yr

... testing/bidding automation that makes spend earn its keep. * Use AI to scale organic and inbound demand generation: Operationalize how ProService surfaces in search and AI-generated answers, how ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

... testing within constrained or limited toolchain environments * 10+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

... testing within constrained or limited toolchain environments * 10+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

... testing within constrained or limited toolchain environments * 10+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

... testing within constrained or limited toolchain environments * 10+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

next page

Showing results 1-20

All JobsAi Automation Testing JobsAi Automation Testing Jobs in Hawaii

Ai Automation Testing information

What are some common challenges faced by AI Automation Testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

How much do AI testers get paid?

AI automation testers typically earn between $60,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start around $50,000, while experienced professionals with skills in machine learning and scripting can earn higher salaries. Certifications and proficiency with testing tools can also influence compensation.

What are the key skills and qualifications needed to thrive as an AI Automation Testing professional, and why are they important?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles usually involve developing innovative AI solutions, managing teams, and may require expertise in programming, data analysis, and relevant tools like TensorFlow or PyTorch.

Is AI testing a good career?

AI automation testing is a growing field that involves evaluating AI systems for accuracy, reliability, and performance using tools like scripting and testing frameworks. It offers opportunities in technology companies, with demand increasing as AI applications expand across industries. Developing skills in programming, machine learning concepts, and testing tools can enhance career prospects in this area.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

What job categories do people searching Ai Automation Testing jobs in Hawaii look for? The top searched job categories for Ai Automation Testing jobs in Hawaii are:
What cities in Hawaii are hiring for Ai Automation Testing jobs? Cities in Hawaii with the most Ai Automation Testing job openings:
Ai Automation Testing jobs near you

Director, IT AI/Automation and Data Governance

Hawaii Medical Service Association

Honolulu, HI • Hybrid

Full-time

Posted 5 days ago

Job description

  1. Lead and manage AI/Automation development, machine learning, data engineering, and automation delivery teams.
    • Set strategic direction, delivery priorities, architecture guardrails, and development standards for AI and automation initiatives.
    • Oversee solution planning, resource allocation, delivery execution, and operational readiness for AI and automation products and services.
    • Ensure development teams follow approved governance, security, testing, documentation, and release management practices.
    • Coach and develop managers, engineers, data scientists, and technical leads to build a high-performing, accountable, and innovative organization.
    • Drive collaboration across product, infrastructure, security, analytics, and business teams to accelerate value delivery and adoption.
    • Manage vendor and partner relationships supporting AI, data, and automation capabilities.
    • Support budget planning, investment prioritization, and workforce planning for governance and delivery functions.
  2. Develop and lead the enterprise framework for AI/Automation governance, data governance, and responsible automation practices.
    • Establish policies, standards, and controls for data quality, metadata, lineage, model governance, risk management, security, privacy, and compliance.
    • Define governance processes across the AI and data lifecycle, including intake, approval, development, testing, deployment, monitoring, and retirement.
  3. Partner with business, legal, compliance, security, privacy, and technology leaders to align governance with organizational risk appetite and strategic priorities.
  4. Oversee governance for AI/Automation use cases, models, and automation solutions to ensure transparency, accountability, explainability, and auditability where appropriate.
  5. Lead governance forums, review boards, and decision-making processes for AI, data, and automation initiatives.
  6. Develop metrics, dashboards, and reporting to measure governance maturity, control effectiveness, adoption, and business value.
  7. Monitor evolving regulatory, ethical, and industry requirements related to AI, data, and automation and translate them into actionable enterprise policies.
  8. Performs all other miscellaneous responsibilities and duties as assigned or directed.
#LI-Hybrid
  1. Bachelor's degree in Information Technology, Computer Science, Data Science, Engineering, or equivalent combination of education and experience.
  2. Ten years of progressive leadership experience in IT, data, analytics, AI/Automation, or digital technology functions.
  3. Experience establishing or leading data governance, AI/Automation governance, model risk management, or technology governance programs.
  4. Experience leading software development, AI/ML, data engineering, or automation teams in an enterprise environment.
  5. Strong knowledge of data management practices including data quality, metadata, lineage, stewardship, master data, and information lifecycle controls.
  6. Strong understanding of AI and automation concepts, including model lifecycle management, responsible AI principles, process automation, and operational controls.
  7. Demonstrated ability to translate technical, regulatory, and risk requirements into practical operating models, standards, and execution plans.
  8. Experience working across legal, compliance, audit, security, privacy, and business functions in highly regulated or risk-sensitive environments.
  9. Strong communication, executive presentation, stakeholder management, and organizational leadership skills.
  10. Intermediate knowledge of Microsoft Office applications, including but not limited to, Word, Excel, PowerPoint, and Outlook.

Apply