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Ai Qa Analyst Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 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 ...

Quality Assurance Analyst ID: 1006 Location: Delmont, PA Department: True Helix More about this job > Description The Quality Assurance Analyst is responsible for the testing phase of the production ...

NAVA Software solutions is looking for a QA Analyst Details: QA Analyst Location: Whippany NJ - Initially Remote Duration: 6-12 months What You Will Do: * Design and execution of functional test ...

QA Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a QA Analyst Retail & E-Commerce to support testing of ecommerce websites and retail ...

This Quality Assurance Analyst will be responsible for reviewing the Claims Processing Systems for configured benefits and reimbursement methodologies. Experienced candidates must demonstrate working ...

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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 30, 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:
What states have the most Ai Qa Analyst jobs? States with the most job openings for Ai Qa Analyst jobs include:
Infographic showing various Ai Qa Analyst 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 $83,275 per year, or $40 per hour.

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Re-posted 8 days ago


Diligent Delivery Systems rating

4.8

Company rating: 4.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Position Overview:  

Diligent is looking for a talented QA Analyst to improve the quality of Diligent products. The QA Analyst is part of a cross-functional agile team and involved in every step of the software testing life cycle, from planning to releasing the product.  

Key Responsibilities  

  • Demonstrates entry level technical capabilities 
  • Ability to complete smaller stories independently, more complex ones with guidance from senior members of the team 
  • Curious and high potential for learning and growing as an engineer. 
  • Understand the process and keep the Flow healthy. 
  • Understands specifications, can draw up test scenarios, create regression test cases and updates test cases as needed. 
  • Executes test cases and analyses test results. Interrogating failed scenarios and accurately record defects following them through to resolution. 
  • Use AI tools to enhance productivity: 
  • Use AI tools to automatically generate test scenarios 
  • Speed up the creation of edge case scenarios that might be overlooked manually. 
  • Use AI to query test results, logs, or bug databases using natural language 
  • Automatically generate or update QA documentation 

Required Experience/Skills  

  • 0-3 years of experience in Software Testing, preferably testing of Web applications. 
  • Experience in working with bug-tracking systems, and version control systems. 
  • Knowledge of testing methods and technologies, understanding of formal software development processes (SDLC) 
  • Flexible analytical and algorithmic thinking, desire for self-development, persistence in finding solutions, and achieving goals. 
  • Awareness of modern AI-enhanced development tools (e.g., GitHub Copilot, ChatGPT, Cody). 

Preferred Experience/Skills  

  • Basic programming or scripting skills. 
  • Automation testing experience / Desire to learn. 
  • Experience with CI/CD 
  • Can-do attitude 
  • ISTQB certification 

What Diligent Delivery Systems employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Diligent Delivery Systems logo

About Diligent Delivery Systems

Sourced by ZipRecruiter

Welcome to Diligent Delivery Systems, a nationwide transportation, shipping, and logistics service provider. We supply businesses with an assortment of shipping and delivery solutions to enhance day-to-day delivery efficiency and productivity. Our delivery services include: Hot Shot Delivery, Healthcare Courier Services, Outsourced Fleet Management Using Owner Operators, Warehouse & Distribution Network, Over-the-Road Trucking (LTL & FTL), White Glove Delivery / Final Mile, Domestic Air Freight, and Logistics Consulting.

Industry

Transportation and warehousing

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1994

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