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Ai Quality Assurance Jobs (NOW HIRING)

- Conversational AI QA Lead - chatbots Locations: Irving/Dallas, Texas FULL TIME Day to Day job Duties: * Develop and implement conversational AI solutions: Design, build, and deploy chatbots and ...

QA

Austin, TX · On-site

$41 - $55.75/hr

AI Test Automation Engineer Location: Cupertino, CA or Austin, TX (Hybrid - Tue/Wed/Thu Onsite ... A solid QA automation background is required. Key Responsibilities * Lead AI quality and ...

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Cupertino, CA · On-site

$51 - $69.50/hr

AI Test Automation Engineer Location: Cupertino, CA or Austin, TX (Hybrid - Tue/Wed/Thu Onsite ... A solid QA automation background is required. Key Responsibilities * Lead AI quality and ...

... software quality standards • Develop user training programs, documentation, and support ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...

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 ...

... leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: QA/Test ...

New

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C Work Model: Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass ...

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C Work Model: Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass ...

Industry/Sector Not Applicable Specialism Quality Engineering Management Level Senior Associate & Summary The Opportunity As an AI Quality Assurance Senior Associate, you will play a pivotal role in ...

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Ai Quality Assurance information

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$15

$44

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How much do ai quality assurance jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai quality assurance in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 per hour, depending on experience, location, and employer.

What is the difference between Ai Quality Assurance vs Data Analyst?

AspectAi Quality AssuranceData Analyst
Required CredentialsCertifications in AI, QA, or software testingDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, marketing sectors
Industry UsageAI product testing, model validationData interpretation, reporting
Common Search IntentUnderstanding QA roles in AIAnalyzing data for insights

While both roles involve working with data and technology, Ai Quality Assurance focuses on testing and validating AI systems to ensure accuracy and reliability. Data Analysts interpret data to inform business decisions. The roles often overlap in tech environments but serve different purposes within the AI and data ecosystem.

How does an AI Quality Assurance professional typically collaborate with data scientists and engineers during the model development lifecycle?

AI Quality Assurance professionals work closely with data scientists and engineers to ensure that models meet performance, reliability, and ethical standards. This collaboration often involves reviewing model requirements, designing and executing test cases, and providing feedback on issues such as data bias or edge-case failures. Frequent communication and teamwork are essential, especially when troubleshooting unexpected results or implementing improvements. By actively participating in development sprints and review meetings, AI QA professionals help maintain high standards and foster a culture of continuous improvement.

What is AI Quality Assurance?

AI Quality Assurance (AI QA) refers to the processes and practices used to ensure that artificial intelligence systems function accurately, reliably, and ethically. Professionals in this field test AI models for performance, fairness, and compliance with industry standards. They identify bugs, monitor for unintended biases, and verify that AI outputs meet requirements before deployment. AI QA helps build trust in AI technologies by ensuring they deliver consistent and expected results.

What are the key skills and qualifications needed to thrive as an AI Quality Assurance specialist, and why are they important?

To thrive as an AI Quality Assurance specialist, you need a solid background in software testing, machine learning concepts, and programming, often supported by a degree in computer science or a related field. Familiarity with QA automation tools, version control systems like Git, and AI testing frameworks is crucial for effective performance. Strong analytical thinking, attention to detail, and clear communication are valuable soft skills that elevate performance in this role. These skills ensure the reliability, accuracy, and continual improvement of AI systems, directly impacting product quality and user trust.
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What are the most commonly searched types of Ai Quality Assurance jobs? The most popular types of Ai Quality Assurance jobs are:
Who are the top companies hiring for Ai Quality Assurance jobs? The top employers for Ai Quality Assurance jobs are:
What states have the most Ai Quality Assurance jobs? States with the most job openings for Ai Quality Assurance jobs include:
What job categories do people searching Ai Quality Assurance jobs look for? The top searched job categories for Ai Quality Assurance jobs are:
Infographic showing various Ai Quality Assurance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.

Conversational AI QA Lead

Saransh Inc

Irving, TX • On-site

Full-time

Re-posted 24 days ago


Job description

 

Job Description – Conversational AI QA Lead - chatbots

Locations: Irving/Dallas, Texas

FULL TIME

Day to Day job Duties:

  • Develop and implement conversational AI solutions: Design, build, and deploy chatbots and virtual assistants for banking use cases.
  • Develop and implement a comprehensive QA strategy that aligns with our product roadmap and business goals.
  • Lead, mentor, and grow a high-performing QA team, fostering a culture of continuous improvement and accountability.
  • Establish and enforce quality standards, processes, and best practices for software testing, including automated and manual testing methodologies.
  • Collaborate with product management, engineering, and operations teams to define quality metrics and ensure alignment on product quality goals.
  • Oversee the design and execution of test plans, test cases, and automated test scripts to validate product functionality and performance.
  • Provide regular updates to executive leadership on quality metrics, testing progress, and risk assessments related to product releases.
  • Identify and advocate for quality improvements throughout the product development lifecycle.

Skills Required: 

  • 10+ years of experience in software quality assurance, with at least 5 years in a leadership role.
  • Proven track record of developing and executing QA strategies for complex software products.
  • Deep understanding of software testing methodologies, tools, and best practices.
  • Experience with test automation frameworks and CI/CD pipelines.
  • Strong analytical and problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment.

Kind regards,

Yousuf Ali

Saransh, Inc.,

Delivery Head

5 Independence Way,

Suite # 225 - Princeton, NJ 08540

Cell: 6094299567 || www.saranshinc.com

a Certified Woman & Minority Business Enterprise (WMBE) 

an Inc. 5000 Company - 2020 

NJFAST 50 Growing Company - 2020
a Tech Serve Alliance Excellence Award Company - 2019