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Ai Automation Testing Jobs in New Rochelle, NY (NOW HIRING)

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AI Quality Engineer

New York, NY · On-site

$78K - $101K/yr

Implementing and leveraging AI-powered Selenium plugins, including Healenium and Applitools Eyes, for intelligent visual and functional testing. * QA Automation with MCP Integration: Integrating QA ...

Artian AI

Senior Software Engineer - Backend

New York, NY · On-site

$150K - $200K/yr

About Artian Artian AI is building agentic AI automation for financial services. Our platform ... Improve engineering practices around testing, monitoring, code quality, deployment, and incident ...

TEKsystems

M365 Automation /Engineer

Manhattan, NY · Hybrid

$75 - $85/hr

This role will focus on leveraging Microsoft 365, Microsoft Graph, Azure services, and AI ... testing, deployment, documentation, and continuous improvement efforts. * Partner with engineering ...

1 point system

ETL QA

New York, NY · Remote

Good experience with test automation, database testing, API testing and Java application testing. * Experience with use of AI technologies within testing is preferred. Core Skills * Big Data Testing:

Diverse Lynx

AI Testing Specialist

Manhattan, NY · On-site

Required : • 6-8 years of experience in Software Testing, Test Automation, or Quality Engineering. • Strong experience in AI-driven testing frameworks and intelligent test automation. • Hands ...

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How much do ai automation testing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai automation testing in New Rochelle, NY is $52.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.53 and $60.10 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

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 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 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.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in New Rochelle, NY?

For Ai Automation Testing jobs in New Rochelle, NY, the most frequently searched job titles are:

What job categories do people searching Ai Automation Testing jobs in New Rochelle, NY look for?

The top searched job categories for Ai Automation Testing jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Ai Automation Testing jobs?

Cities near New Rochelle, NY with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in New Rochelle, NY as of June 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $109,756 per year, or $52.8 per hour.

AI Quality Engineer

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New York, NY • On-site

$78K - $101K/yr

Contractor

Re-posted 12 days ago

Job description

Tasks & Duties: 

  • AI Agent Test Scenario Creation: Designing robust and relevant test scenarios to validate AI agent behavior and performance. 

  • PRD Analysis: Analyzing Product Requirement Documents (PRDs) to extract testing requirements and ensure comprehensive test coverage. 

  • Performance Testing: Conducting thorough performance testing of AI systems to identify  

bottlenecks and ensure scalability. 

  • Agentic Tool: Utilizing agentic tools such as Windsurf, Claude Code, and Cursor for advanced automation tasks. 

  • Selenium AI Plugins: Implementing and leveraging AI-powered Selenium plugins, including Healenium and Applitools Eyes, for intelligent visual and functional testing. 

  • QA Automation with MCP Integration: Integrating QA automation processes with our Master Control Program (MCP) for centralized management and execution. 

  • APIs & Integrations: Testing and integrating with REST and SOAP APIs to ensure seamless connectivity between systems. 

  • Process Analysis Workflow Analysis: Analyzing complex business workflows to understand processes and identify pain points. 

  • Identifying Automation Opportunities: Proactively identifying areas within the QA lifecycle and business processes that can be optimized through AI automation. 

  • Excel Automation: Automating data-intensive tasks using Excel automation techniques 

Required Skills 

  • Minimum 5 years of experience with industry-standard tools such as JIRA, AZDO, Balsamiq, and MS Visio. 

  • Minimum 5 years of experience with automation tools including QTP, WinRunner, Visual Studio, and Selenium. 

  • Minimum 5 years of experience in creating, executing, and managing automation scripts effectively. 

  • Minimum 5 years of experience in utilizing SQL Server, LoadRunner, and JMeter for database management and performance testing. 

  • Minimum 5 years of experience in exhibiting strong understanding and practical experience with Agile and Scrum methodologies. 

  • Minimum 5 years of experience in using version control systems like Git and platforms such as GitHub or GitLab for collaborative development and test management. 

  • Minimum 5 years of experience in exhibiting proficiency in end-to-end defect life cycle management, including logging, tracking, and verifying fixes. 

  • Minimum 5 years of experience in integrating automated tests into Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins or Azure DevOps.