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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 ...

Ezee Fiber

Analyst, Quality Assurance

Houston, TX

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

Qa/qc Inspector

Effingham, IL

$30 - $35/hr

Job Title: QA/QC Engineer We are seeking a QA/QC Engineer to support quality assurance and quality ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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

As of Aug 17, 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 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $118,074 per year, or $56.8 per hour.

Artificial Intelligence Engineer

Darksaber Labs

Alexandria, VA • On-site

$120K - $200K/yr

Full-time

Re-posted 20 days ago

Job description

About Darksaber Labs
Darksaber Labs is a new Electronic Warfare (EW) start up founded by EW Operators.
About the role
  • The Artificial Intelligence Engineer role is intended to aid in product design and implementation.

What you'll do
  • Design and implement traditional machine learning and generative artificial intelligence capabilities.
  • Conduct research and development of current and leading edge trends.
  • Ensure quality assurance and ability to move capabilities into production.

Qualifications
  • Clearance
  • Programming
  • Education or equivalent work experience in ML/AI
  • Prior IC/DoW experience is a plus

Salary range is $120,000 - $200,000 a year.

Apply