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Ai Qa Engineer Jobs (NOW HIRING)

Introlligent Inc.

QA Automation Engineer

Austin, TX · On-site

AI QA Automation Engineer Location: Cupertino, CA OR Austin, TX (Hybrid T-W-T Onsite) Duration: 6 Months QA Engineer focused on testing AI/ML systems and building automation frameworks to ensure ...

State Street

AI QA Engineer, AVP

Burlington, MA · On-site

State Street is looking for a Quality Assurance Engineer focused on AI testing to join their team responsible for advancing quality engineering for AI-enabled capabilities. The role involves ...

The New York Times

QA Engineer

New York, NY · Hybrid

We are looking for a QA Engineer-a creative builder who can bridge the gap between QA, DevOps, and ... The engineer should also automate everything and use modern AI-assisted development tools, such as ...

Staffingine LLC

QA Engineer

Nashville, TN · On-site

Job Title: QA Engineer Job Location: Nashville, TN Job Type ... Contract * 7+ years of experience in Automated QA - TestComplete. * QA testing with AI +ETL

ProScore Technologies

QA Engineer

Fort Lauderdale, FL · On-site

QA Engineer - Job Profile Location: Fort Lauderdale, FL We are seeking a QA Engineer to join our ... About ProScore Technologies ProScore Technologies is a leader in AI-powered workforce compliance ...

Rectangle Health

QA Engineer

White Plains, NY · On-site

$90K - $115K/yr

You will receive the training, tools, and support to keep growing as a QA Engineer, including hands-on access to cloud environments and AI-assisted development tools. Primary Job Duties: * Test ...

New

Rectangle Health

QA Engineer

White Plains, NY

$90K - $115K/yr

You will receive the training, tools, and support to keep growing as a QA Engineer, including hands-on access to cloud environments and AI-assisted development tools. Primary Job Duties: * Test ...

New

Doctronic Inc

QA Engineer

New York, NY · On-site

$70K - $200K/yr

QA Engineer Where Medicine Meets Intelligence Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy ...

corpay

QA Engineer

Beaverton, OR

We expect the use of modern AI tools such as ChatGPT, GitHub Copilot, Codex, and similar platforms ... How We Work As a QA Engineer, Corpay will set you up for success by providing: * Assigned workspace ...

Corpay

QA Engineer

Beaverton, OR · On-site

Using AI-assisted tools such as ChatGPT, GitHub Copilot, Codex, and similar platforms to support test design, edge case discovery, test data planning, automation development, debugging, and QA ...

corpay

QA Engineer

Beaverton, OR

We expect the use of modern AI tools such as ChatGPT, GitHub Copilot, Codex, and similar platforms ... How We Work As a QA Engineer, Corpay will set you up for success by providing: * Assigned workspace ...

DataServ

QA Engineer

North Andover, MA · On-site

DataServ/xFact is seeking a QA Engineer to serve as the subject matter expert for Quality Assurance ... The role involves testing automation for enterprise products and evaluating AI/LLM-powered features ...

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Ai Qa Engineer information

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How much do ai qa engineer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for ai qa engineer in the United States is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $55.53 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or executive roles like AI CTO, which offer compensation in that range. These roles often require advanced skills in machine learning, deep learning, and experience with large-scale AI systems, along with leadership responsibilities and sometimes equity or bonuses.

Is AI going to replace QA engineers?

AI QA engineers use automation tools and machine learning to improve testing efficiency and accuracy, but they do not fully replace human testers. Human oversight remains essential for designing test cases, interpreting results, and handling complex or subjective issues. AI enhances QA roles but complements rather than replaces QA engineers.

What engineer makes $500,000 a year?

Senior AI QA Engineers or specialized AI engineers with extensive experience and advanced skills in machine learning, deep learning, and automation can earn salaries approaching or exceeding $500,000 annually, especially in high-demand tech companies or executive roles. Such compensation often includes bonuses, stock options, and other benefits. Achieving this level typically requires years of expertise, advanced certifications, and a strong track record in AI development or quality assurance.

What is an AI/QA engineer?

An AI/QA engineer is a professional responsible for testing and ensuring the quality of artificial intelligence systems and software. They develop test plans, use automation tools, and analyze data to identify issues, ensuring AI models perform accurately and reliably before deployment.
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Ai Qa Engineer jobs near you
Infographic showing various Ai Qa Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $100,970 per year, or $48.5 per hour.

AI QA Automation Engineer

Introlligent Inc.

Cupertino, CA • On-site

Other

Re-posted 3 days ago

Job description

Role: AI QA Automation Engineer

Location: Cupertino, CA OR Austin, TX (Hybrid T-W-T Onsite)

Duration: 6 Months

Job Description:

QA Engineer focused on testing AI/ML systems and building automation frameworks to ensure model quality, reliability, and performance.

Key Responsibilities

  • Design and implement automated tests for AI/ML features
  • Validate model outputs for accuracy, consistency, and edge cases
  • Build and maintain automation frameworks and evaluation pipelines
  • Perform data-driven testing for datasets and model behaviour
  • Identify issues related to model performance, bias, and reliability

Nice to Have

  • Exposure to LLMs or multimodal systems
  • Understanding of ML concepts and evaluation metrics
  • Experience with Python and test automation tools

Apply