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Ai Tester Jobs in Arizona (NOW HIRING)

Robustware

AI Quality Engineer Lead

Phoenix, AZ · On-site

$71K - $92K/yr

Define standards for AI testing, observability, security, and performance while enabling rapid adoption of reusable QE agents across projects. Provide technical leadership and mentorship to ...

3B Staffing LLC

Java AI Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

... Resiliency testing * Build frameworks and reusable components to shift left and accelerate ... AI Agent Development * Design and implement Agentic AI workflows that automate engineering tasks ...

3B Staffing LLC

Java AI Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

... Resiliency testing * Build frameworks and reusable components to shift left and accelerate ... AI Agent Development * Design and implement Agentic AI workflows that automate engineering tasks ...

BTree Solutions, Inc.

AI MANAGER

Vail, AZ · On-site

Ensures documentation, version control, testing protocols, and deployment pipelines meet ... AI Governance, Responsible AI Compliance & Reporting: * Ensures all AI tools and applications ...

Compunnel

Senior .NET AI Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

The role spans Angular front-end applications, .NET APIs, relational and NoSQL databases, Azure cloud services, CI/CD pipelines, and automated testing, while also leveraging generative AI and AI ...

Provn

Manager, Application & AI Security

Scottsdale, AZ · Remote

$137K - $206K/yr

Run application security testing across API security, OWASP ASVS, and the OWASP Top 10 and API ... Hold the central AI-governance mandate: LLM and Copilot usage policy and data-leakage and shadow-AI ...

Globe Telecom, Inc.

AI Engineering

Globe, AZ · On-site

Apply AI-assisted development to code, testing, documentation, and workflow automation * Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring * Support ...

Globe Telecom, Inc.

AI Engineering

Globe, AZ · On-site

Apply AI-assisted development to code, testing, documentation, and workflow automation * Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring * Support ...

CoorsTek

AI Deployment Engineer

Chandler, AZ · On-site +1

Job Title AI Deployment Engineer The AI Deployment Engineer will support the AI and automation ... Provide strong, hands-on guidance as users participate in solution design, prototyping, testing ...

New

Intraedge

QA Automation (AI)

Phoenix, AZ · On-site

QA Automation Engineer (AI)(10+ Years Experience) Location: Phoenix,AZ Duration:12 Months Contract ... Key Responsibilities Functional Testing Analyze business requirements, user stories, and technical ...

Apex Systems

Manager- Application & AI Security

Scottsdale, AZ · On-site

$59.50 - $79.50/hr

Run application security testing - API security, aligned to OWASP ASVS and the OWASP Top 10 / API ... Own the AI/model inventory and AI-BOM and the model registry and approval workflow. * Conduct ...

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Ai Tester information

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$35

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How much do ai tester jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai tester in Arizona is $35.75, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $47.26 per hour, depending on experience, location, and employer.

What is an AI tester?

An AI Tester is responsible for evaluating artificial intelligence systems to ensure they function correctly, efficiently, and ethically. They design and execute test cases, identify flaws or biases, and verify that AI models meet performance standards. AI Testers work with developers and data scientists to improve AI reliability and user experience. Their role is crucial in preventing errors, reducing risks, and ensuring AI models make accurate and fair decisions.

What are the key skills and qualifications needed to thrive as an AI tester?

To thrive as an AI Tester, you need a background in computer science, experience with software testing methodologies, and a solid understanding of artificial intelligence technologies. Familiarity with testing tools (such as Selenium, Jupyter notebooks, or TensorFlow testing frameworks), programming languages like Python, and relevant certifications (e.g., ISTQB) are highly advantageous. Attention to detail, problem-solving abilities, and strong communication skills help AI Testers identify and articulate issues effectively. These skills ensure AI systems are reliable, accurate, and deliver expected outcomes in real-world applications.

What are some typical challenges faced by AI testers in their daily work?

AI Testers often encounter challenges such as managing and testing large, complex datasets, handling rapidly evolving algorithms, and ensuring consistent test coverage across various real-world scenarios. They must also validate that AI models are free from bias and produce accurate, reproducible results under different conditions. Overcoming these challenges requires both technical proficiency and adaptability. Collaboration with data scientists, developers, and product managers is common, and testers frequently update their testing approaches to keep pace with the fast changes in AI technology.

Can I get an AI Tester job with no experience?

Entry-level AI Tester positions often do not require prior experience, but having basic knowledge of programming, testing tools, and AI concepts can improve your chances. Many employers offer training or are willing to hire candidates with relevant skills or certifications, such as in software testing or machine learning fundamentals.

How do you become an AI tester?

To become an AI tester, you typically need a background in computer science, software testing, or related fields, along with knowledge of machine learning and AI concepts. Gaining experience with programming languages like Python and familiarity with testing tools and frameworks are also important. Certifications in software testing or AI can enhance your qualifications and job prospects.

How much do AI testers make?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced testers with skills in automation tools and programming can earn higher salaries.

What are the most commonly searched types of Ai Tester jobs in Arizona?

The most popular types of Ai Tester jobs in Arizona are:

What are popular job titles related to Ai Tester jobs in Arizona?

For Ai Tester jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Tester jobs in Arizona look for?

The top searched job categories for Ai Tester jobs in Arizona are:

What cities in Arizona are hiring for Ai Tester jobs?

Cities in Arizona with the most Ai Tester job openings:

Ai Tester jobs near you
Infographic showing various Ai Tester job openings in Arizona as of August 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $74,356 per year, or $35.7 per hour.

AI Quality Engineer Lead

Robustware

Phoenix, AZ • On-site

$71K - $92K/yr

Other

Posted 4 days ago

Job description

Role: AI Quality Engineer Lead 

Role: Onsite, Phoenix, AZ

This role will own the end-to-end quality strategy for AI Marketplace solutions, including QE agent development, AI validation, workflow orchestration, and platform integration. Define standards for AI testing, observability, security, and performance while enabling rapid adoption of reusable QE agents across projects. Provide technical leadership and mentorship to engineering teams building and deploying agentic solutions.

 

Competency Area

Technical Expectations

Agentic AI Architecture

Understanding of AI agents, multi-agent workflows, MCP (Model Context Protocol), orchestration frameworks, tool calling, memory management, RAG patterns, and agent lifecycle management.

AI/LLM Validation & Assurance

Ability to define and implement testing strategies for AI systems including hallucination detection, response quality evaluation, guardrail testing, prompt validation, grounding verification, and reliability testing.

QE Automation Engineering

Strong hands-on experience with Playwright, Selenium, API automation, test frameworks, CI/CD integration, test data management, and automation architecture.

Agent Development & Customization

Ability to configure, extend, and customize agents for project-specific workflows, enterprise tools, APIs, business rules, and testing use cases.

AI Observability & Monitoring

Knowledge of agent telemetry, trace analysis, execution monitoring, prompt/response tracking, drift detection, performance analytics, and operational dashboards.

Cloud & Platform Engineering

Working knowledge of Azure AI, AWS Bedrock, OpenAI, Databricks, Kubernetes, containers, APIs, security integrations, and enterprise deployment patterns.

Data & API Engineering

Strong understanding of API contracts, service orchestration, structured/unstructured data, vector databases, embeddings, and data validation techniques.

Responsible AI & Governance

Experience validating security, privacy, compliance, explainability, bias detection, human-in-the-loop controls, and enterprise guardrails for AI agents.

Performance & Scalability Testing

Ability to validate agent response latency, concurrency, token consumption, workflow scalability, resiliency, and failover behavior.

Solution Architecture & Consulting

Capability to translate business use cases into agentic solutions, define reusable marketplace assets, establish standards, and mentor engineering teams.

Ideal Skill Profile

Must Have

  • Agentic AI / LLM fundamentals
  • Playwright or modern automation framework
  • API testing and integration
  • AI testing and validation
  • Azure AI/OpenAI ecosystem
  • Strong QE architecture background

Good to Have

  • LangChain / LangGraph
  • AutoGen / CrewAI / Semantic Kernel
  • Vector databases
  • MCP-based architectures
  • Kubernetes & containers
  • Prompt engineering

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