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Ai Automation Testing Jobs in Delaware (NOW HIRING)

Saransh Inc

QA Automation

Wilmington, DE · On-site

7years to 12 years of experienced and highly skilled QA Automation Tester to join our dynamic team ... performance testing to ensure product stability. (j) Experience with Gen AI and Agentic AI ...

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Ai Automation Testing information

What are some common challenges faced by AI Automation Testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

How much do AI testers get paid?

AI automation testers typically earn between $60,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start around $50,000, while experienced professionals with skills in machine learning and scripting can earn higher salaries. Certifications and proficiency with testing tools can also influence compensation.

What are the key skills and qualifications needed to thrive as an AI Automation Testing professional, and why are they important?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles usually involve developing innovative AI solutions, managing teams, and may require expertise in programming, data analysis, and relevant tools like TensorFlow or PyTorch.

Is AI testing a good career?

AI automation testing is a growing field that involves evaluating AI systems for accuracy, reliability, and performance using tools like scripting and testing frameworks. It offers opportunities in technology companies, with demand increasing as AI applications expand across industries. Developing skills in programming, machine learning concepts, and testing tools can enhance career prospects in this area.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

What are popular job titles related to Ai Automation Testing jobs in Delaware? For Ai Automation Testing jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Automation Testing jobs in Delaware look for? The top searched job categories for Ai Automation Testing jobs in Delaware are:
Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in Delaware as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

QA Automation

Saransh Inc

Wilmington, DE • On-site

Contractor

Re-posted 20 days ago

Job description

7years to 12 years of experienced and highly skilled QA Automation Tester to join our dynamic team. The successful candidate will be responsible for designing, developing, and executing automated test scripts to ensure the quality and functionality of our software products. The candidate will work closely with developers and other stakeholders to understand requirements and create automation solutions that enhance testing efficiency.                

Primary Skills:

(a) Experience with REST ASSURED API

(b) Experience with Java programming

(c) Strong SQL

(d) Proficient in Selenium, JUnit, TestNG, Appium

(e) Experience in GIT, JIRA, SQL, BIT BUCKET, Jules

(f) Excellent communication skills to work with cross-functional teams and convey issues, risks, and testing progress

(g) Experience with API testing and tools like Postman, IntelliJ

(h) Proficient in BDD Cucumber Framework

(i) Conduct regression testing and performance testing to ensure product stability.

(j) Experience with Gen AI and Agentic AI experience.

(h) Experience in Application Testing - Functional, Smoke ,Sanity ,Regression Testing          

Good to Have Skills

(i)Certification in GEN AI

(ii)Excellent problem-solving and analytical skills to quickly identify issues and suggest improvements.

(iii)Experience with Agile/Scrum methodologies is a plus.

(iv) Knowledge of performance testing tools like JMeter or LoadRunner.