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Ai Qa Analyst Jobs (NOW HIRING)

Perficient

QA AI Technical Professional

Alpharetta, GA · On-site

Responsibilities Research, Market Analysis & Benchmarking * Continuously scan the market for emerging AI/ML technologies, tools, and platforms relevant to QA (e.g., test generation, defect prediction ...

Diligent Corporation

The QA Analyst is part of a cross-functional agile team and involved in every step of the software ... Use AI tools to automatically generate test scenarios * Speed up the creation of edge case ...

nLeague

QA Analyst

Indianapolis, IN · On-site

The use of AI is expected and includes the development of laboratory AI procedures for spreadsheet ... Quality Assurance Analyst capabilities with approximately 1-3 years of experience in the field or ...

Magicforce

AI QA Engineer

Hopkins, MN · On-site

... driving AI quality assurance, workflow optimization, intelligent test automation, runtime ... Leadership, Collaboration & Continuous Improvement Lead and mentor engineers, analysts, contractors ...

corpay

QA Analyst

South Jordan, UT · On-site

This role combines manual testing, AI-assisted quality assurance, and test automation, with a ... How We Work As a QA Analyst, you will be expected to work in an office environment. Corpay will set ...

corpay

QA Analyst

South Jordan, UT · On-site

This role combines manual testing, AI-assisted quality assurance, and test automation, with a ... How We Work As a QA Analyst, you will be expected to work in an office environment. Corpay will set ...

Helioz Solutions INC

QA Analyst

Richmond, VA · On-site

Company Description QA analyst to design test cases and test complex JAVA based system. The successful candidate will have actually been a developer at some point in their career. An EXPERIENCED QA ...

Helioz Solutions INC

QA Analyst

Richmond, VA · On-site

QA analyst to design test cases and test complex JAVA based system. The successful candidate will have actually been a developer at some point in their career. An EXPERIENCED QA Analyst is needed to ...

Magellan AI

Quality Assurance Analyst

$18 - $20/hr

Magellan AI is the all-in-one platform for podcast advertising intelligence, media planning, and ... We're looking for Quality Assurance Analysts to support the growing number of clients using ...

Anblicks

QA Analyst

California City, CA · On-site

Job Title: QA Analyst Work Location: Burbank - 100 South California Street Tower 1_B700 looking for a Quality Assurance (QA) Analyst that will lead and support multiple initiatives with our Google ...

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Ai Qa Analyst information

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How much do ai qa analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for ai qa analyst in the United States is $40.04, according to ZipRecruiter salary data. Most workers in this role earn between $28.61 and $49.52 per hour, depending on experience, location, and employer.

What are AI QA Analysts?

AI QA Analysts, or Artificial Intelligence Quality Assurance Analysts, are professionals who test and evaluate AI systems to ensure they function as intended. They design test cases, validate data integrity, assess model performance, and identify bugs or biases within AI-driven applications. Their work helps ensure that AI models are accurate, reliable, and meet user requirements before deployment. AI QA Analysts collaborate closely with data scientists, engineers, and developers to continuously improve AI product quality.

How does an AI QA Analyst typically collaborate with data scientists and software engineers?

As an AI QA Analyst, you will work closely with both data scientists and software engineers throughout the model development lifecycle. You’ll review model requirements, design and execute test cases to validate model performance, and provide feedback on edge cases or data anomalies. Regular meetings and cross-functional communication are common, ensuring that model outputs meet both technical standards and business objectives. This collaborative environment helps foster a shared understanding of project goals and improves the overall quality of AI solutions.

What are the key skills and qualifications needed to thrive as an AI QA Analyst, and why are they important?

To thrive as an AI QA Analyst, you need a solid understanding of software testing principles, programming basics (often Python), and a background in computer science or a related field. Familiarity with QA automation tools (like Selenium or pytest), version control systems, and experience testing AI/ML models are typically required, along with relevant certifications such as ISTQB. Strong analytical thinking, attention to detail, and effective communication skills help you identify issues and convey findings clearly. These competencies are vital to ensure the reliability, fairness, and accuracy of AI-driven products in a rapidly evolving technology landscape.

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

AspectAi Qa AnalystData Quality Analyst
Required CredentialsBachelor's in Computer Science, certifications in AI/QA toolsBachelor's in IT, data management certifications
Work EnvironmentTech companies, AI development teamsData-driven organizations, finance, healthcare
Employer & Industry UsageAI and software testing firmsData management and analytics firms
Common Search & Comparison IntentUnderstanding roles in AI testingData quality assessment roles

The Ai Qa Analyst focuses on testing AI systems and ensuring the quality of AI models, while the Data Quality Analyst concentrates on maintaining the accuracy and integrity of data across systems. Both roles require technical skills and work in data-centric environments, but their primary focus areas differ—AI testing versus data management.

More about Ai Qa Analyst jobs
What cities are hiring for Ai Qa Analyst jobs? Cities with the most Ai Qa Analyst job openings:
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Ai Qa Analyst jobs near you
Infographic showing various Ai Qa Analyst job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $83,275 per year, or $40 per hour.
AI Quality Assurance Analyst Associate(Fellowship Program)

AI Quality Assurance Analyst Associate(Fellowship Program)

Teacher Retirement System of Texas

Austin, TX • On-site

Other

Posted 19 days ago

Job description

The AI QA Analyst Associate will support the Testing and Quality Assurance team within the AI Technology Platform (AITP) program. The incumbent will focus on validating AI-enabled solutions, including LLM agents, and intelligent automation solutions. Responsibilities include evaluating model behavior, prompt effectiveness, response accuracy, system reliability, as well as testing AI workflows, data pipelines, and system integrations, assist in developing automated testing strategies, supporting CI/CD pipelines, and improving regression test coverage. 
This Fellowship Program position is a full-time, temporary, limited term assignment not to exceed three years from the date of hire. It is intended for applicants that have graduated with a bachelor's degree or a master's degree from an accredited college or university in Computer Science, Information Technology, Software Engineering, Data Science, or a closely related field awarded  within the last 12 months.
This position requires onsite work at our Austin TX headquarters. 
WHAT YOU WILL DO:
AI Quality Assurance & Test Automation
Assists in designing, developing, and executing automated test strategies for AI-enabled applications.
Supports testing of AI workflows, data pipelines, and system integrations.
Assists with prompt testing, hallucination detection, and evaluation of AI model performance using defined metrics.
Supports basic bias and safety validation activities and participates in human-in-the-loop review processes to ensure accurate and appropriate AI outputs.
Identifies and documents defects, inconsistencies, and risks during testing cycles.
Assists with validating AI model inputs, outputs, and data flows to ensure accuracy and reliability.
Supports testing of AI-driven features, including conversational agents and workflow automation.
Support Functions
Supports data analysis related to AI system performance, including reviewing evaluation outputs, identifying trends,
Assisting with reporting model quality metrics.
Fellowship Curriculum
Participates in trainings and projects related to the TRS Fellowship Program including webinars, quarterly check-ins, classes or other learning activities, book group, projects, and the mentoring program.
Meets TRS Fellowship Program deadlines and goals for completion of trainings in deliverables in a timely manner.

Performs related work as assigned. 

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