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Artificial Intelligence Quality Assurance Jobs (NOW HIRING)

Ezee Fiber

Analyst, Quality Assurance

Houston, TX · On-site

This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ... Quality Assurance and Operations teams. * Generate, analyze, and distribute quality performance ...

Distro

QA Duplicate Promoted -- DISTRO-326

Austin, TX · Remote

Create a simple quality assurance testing role for this sandbox fixture. #BrightpathTechnologies #LI-PROMOTED #LI-Remote We may use artificial intelligence (AI) tools to support parts of the hiring ...

New

Distro

QA Duplicate Promoted - DISTRO-326

Austin, TX · Remote

Create a simple quality assurance testing role for this sandbox fixture. #BrightpathTechnologies #LI-PROMOTED #LI-Remote $0 - $0 a year We may use artificial intelligence (AI) tools to support parts ...

New

Distro

QA Duplicate Promoted - DISTRO-326

Austin, TX · On-site +1

Create a simple quality assurance testing role for this sandbox fixture. #BrightpathTechnologies #LI-PROMOTED #LI-Remote $0 - $0 a year We may use artificial intelligence (AI) tools to support parts ...

New

Ezee Fiber

Analyst, Quality Assurance

Houston, TX · On-site

The Quality Assurance (QA) Analyst is responsible for evaluating the quality, consistency, and ... This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ...

Ezee Fiber

Analyst, Quality Assurance

Houston, TX · On-site

JOB SUMMARY The Quality Assurance (QA) Analyst is responsible for evaluating the quality ... This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ...

Ezee Fiber

Analyst, Quality Assurance

Houston, TX

JOB SUMMARY The Quality Assurance (QA) Analyst is responsible for evaluating the quality ... This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ...

Actalent

Quality Assurance Specialist

Waunakee, WI

$62K - $90K/yr

Quality Assurance Specialist Join a growing Quality Assurance team where you'll play a critical ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Peak Nano

Quality Assurance Manager

Valley View, OH · On-site

$110 - $160/hr

The Quality Assurance Manager is responsible for developing, implementing, and continuously ... We are the leader in applying artificial intelligence to design and optimize reusable polymers to ...

Phase2 Technology

Quality Assurance Engineer

Atlanta, GA · On-site

$62 - $141/hr

As a quality assurance engineer, you'll work with analysts and developers on an agile team to ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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How much do artificial intelligence quality assurance jobs pay per year?

As of Sep 6, 2026, the average yearly pay for artificial intelligence quality assurance in the United States is $118,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What is artificial intelligence quality assurance?

Artificial Intelligence Quality Assurance (AI QA) is the process of systematically testing and validating AI models and systems to ensure they perform accurately, reliably, and ethically. It involves checking for issues such as bias, fairness, robustness, and compliance with standards or regulations. AI QA professionals design test cases, evaluate model outputs, and monitor AI systems in production to identify and resolve errors or unintended behavior. This ensures that AI solutions deliver trustworthy results and meet business or regulatory requirements.

What are the key skills and qualifications needed to thrive as an artificial intelligence quality assurance specialist?

To thrive as an Artificial Intelligence Quality Assurance specialist, you need a solid background in software testing, programming (often Python or Java), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with automated testing frameworks, version control systems like Git, and AI/ML model evaluation tools is typically required, along with certifications such as ISTQB or AI-specific QA credentials. Sharp analytical thinking, problem-solving, attention to detail, and clear communication help professionals excel in identifying issues and collaborating with cross-functional teams. These skills ensure AI systems are reliable, accurate, and safe for deployment, building user trust and meeting organizational goals.

What are some typical challenges faced by professionals in artificial intelligence quality assurance, and how can they be managed?

Professionals in Artificial Intelligence Quality Assurance often encounter challenges such as ensuring unbiased and reliable AI outputs, dealing with rapidly evolving technologies, and setting up robust testing protocols for complex algorithms. Managing these challenges involves staying up-to-date with new testing frameworks, collaborating closely with data scientists and developers, and implementing continuous monitoring of AI systems post-deployment. Adopting a proactive approach to identify potential biases and anomalies early can greatly improve overall system quality and reliability.
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Artificial Intelligence Quality Assurance jobs near you
Infographic showing various Artificial Intelligence Quality Assurance job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $118,074 per year, or $56.8 per hour.

Artificial Intelligence QA Engineer (Quality Assurance Engineer)

Gadriel.AI

San Diego, CA • On-site

Other

Posted 3 days ago

New

Job description

🚀 We're Hiring: QA Engineer — Gadriel AI Corp. (Fully Remote)

Gadriel AI Corp. is building the pre-production validation layer for the AI era. As AI writes more of the world's code — and AI agents take on more autonomous work — someone has to make sure it's actually correct, secure, and reliable before it ships. That's our whole reason for existing. We're an early-stage startup (NVIDIA Inception member) building tools that validate AI-generated code and AI agent behavior before it reaches production.

We're looking for a detail-obsessed QA Engineer to help us hold our own product to the same standard we hold everyone else's code to.

About the role: This is a fully remote, high-ownership QA role at an early-stage startup. You won't be running a checklist somebody else wrote — you'll be building our testing strategy, our test infrastructure, and our quality culture from close to the ground floor. You'll work directly with the founders and engineering team, and your judgment on what "ready to ship" means will carry real weight.

What you'll do:

  • Design, build, and maintain test plans and test suites across our AI validation products
  • Perform manual and automated testing of CLI tools, integrations, and web-facing dashboards
  • Test integrations with AI coding assistants (Claude Code, Cursor, Windsurf, GitHub Copilot, and others) to make sure our tooling behaves correctly inside each environment
  • Build and maintain automated regression, integration, and end-to-end test suites
  • Validate scan accuracy — help ensure findings are correct, reproducible, and free of false positives/negatives
  • Test across multiple operating systems (Linux, macOS Intel/Apple Silicon, Windows) and language ecosystems
  • Own bug triage: reproduce, document, prioritize, and track issues through to resolution
  • Work closely with engineering to build testability into the product from the start, not bolt it on after
  • Help define QA process and tooling as the team scales — you'll be shaping this, not just following it
  • Participate in release testing and sign-off before ship

What we're looking for:

  • Solid experience in software QA — manual testing, test case design, and automated testing frameworks
  • Comfortable testing CLI tools and developer-facing products, not just web UIs
  • Experience with test automation tools/frameworks (e.g., Playwright, Cypress, pytest, Jest, or similar)
  • Strong bug-hunting instincts and the discipline to document issues clearly and reproducibly
  • Familiarity with npm/Node.js ecosystems and command-line environments
  • Comfortable working across multiple OSes and language/runtime environments
  • Startup mindset: high autonomy, comfortable with ambiguity, able to self-direct in a small remote team
  • Strong written communication — as a remote-first team, most of our collaboration happens async
  • Bonus: experience testing security tools (SAST/SCA/secrets scanners) or developer tooling
  • Bonus: hands-on experience using AI coding assistants day-to-day
  • Bonus: experience with CI/CD pipelines and testing within them

A note on how we work: We build the tools we sell, and we use them ourselves — you should be comfortable getting hands-on with our product, Gadriel AI Code Assurance (GCA), as part of understanding what you're testing. It runs locally alongside AI coding assistants and validates code as it's written. It's free for individual developers, so you can try it out directly:

npm install -g gadriel

What we offer:

  • Meaningful equity in an early-stage, founder-led startup
  • Fully remote — work from wherever you do your best work
  • Direct access to founders and real influence over product quality and process
  • A fast-paced environment where your work ships quickly and matters
  • The chance to help define what "quality" means for one of the newer categories in AI tooling

🌍 Fully Remote 🏢 Gadriel AI Corp. — NVIDIA Inception member

#Hiring #QAEngineer #RemoteJobs #StartupJobs #ArtificialIntelligence #SoftwareTesting #QualityAssurance #DeveloperTools #EarlyStageStartup

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