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Chatgpt Integration Testing Jobs (NOW HIRING)

Contribute to unit and integration testing for tools and APIs. What You'll Learn Hands-on ... AI tooling and automation using ChatGPT, Claude, and other LLM-based systems. * Infrastructure ...

Contribute to unit and integration testing for tools and APIs. What You'll Learn Hands-on ... AI tooling and automation using ChatGPT, Claude, and other LLM-based systems. * Infrastructure ...

Rack Level Integration Engineer

Santa Clara, CA · On-site

$122.10K - $164.40K/yr

Proven experience in testing and qualifying rack-level solutions to ensure they meet or exceed ... ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used ...

Develop reports and queries to support testing and business validation * Collaborate with ... Follow established integration standards and contribute to reusable components Qualifications ...

... integration, testing, and release. * Maintain, upgrade, and customize the Sitecore content ... GitHub Copilot, cursor, Claude, ChatGPT, Gemini * Knowledge of server performance optimization ...

Package Integration Engineer

Santa Clara, CA · On-site

$122.10K - $164.40K/yr

... testing, and FA) * Demonstrated technical judgement in context of assemblies of various form ... ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used ...

Quality Engineer II (Remote)

Oak Brook, IL · On-site +1

$72.70K - $93.90K/yr

Perform manual and automated testing , including functional, regression, smoke, integration, and ... ChatGPT for prototyping, debugging, and problem-solving * Bachelor's degree in computer science or ...

... Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review ... integration testing, CI/CD, rollout/rollback patterns, SLOs, on‑call hygiene, and incident ...

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How much do chatgpt integration testing jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for chatgpt integration testing in the United States is $29.84, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $36.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a ChatGPT Integration Testing Specialist, and why are they important?

To excel in ChatGPT Integration Testing, a strong grasp of software testing methodologies, API usage, and familiarity with conversational AI concepts is essential, usually backed by a degree in computer science or a related field. Proficiency with tools such as Postman, automated testing frameworks (like Selenium), and version control systems (such as Git) is typically required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for identifying issues and collaborating with cross-functional teams. These competencies ensure robust, reliable chatbot integrations that meet user expectations and function seamlessly within diverse applications.

What are some common challenges faced during ChatGPT integration testing, and how can I prepare for them?

One common challenge in ChatGPT integration testing is ensuring seamless communication between the AI model and existing software systems, which often involves handling different data formats and managing API limitations. Testers must also account for edge cases and unexpected user inputs that can cause the chatbot to respond inaccurately or fail. To prepare, familiarize yourself with both the technical integration points and typical user scenarios, and collaborate closely with developers and product managers to understand system requirements and test coverage expectations.

What is ChatGPT integration testing?

ChatGPT integration testing is the process of evaluating how the ChatGPT language model interacts with other software systems, applications, or components within a larger technology environment. It involves testing scenarios where ChatGPT is embedded into products such as websites, chatbots, or customer service platforms to ensure smooth communication, correct data handling, and reliable functionality. The goal is to identify and resolve any issues that arise from the integration, such as data flow errors, security vulnerabilities, or unexpected behaviors. This ensures that users have a seamless and effective experience when interacting with ChatGPT-powered features.

What is the difference between Chatgpt Integration Testing vs Chatbot Developer?

AspectChatgpt Integration TestingChatbot Developer
Primary FocusVerifying integration of ChatGPT with systems and APIsDesigning, building, and programming chatbots
Skills RequiredAPI testing, debugging, understanding of AI modelsProgramming, NLP, UI/UX design
Work EnvironmentTesting labs, development environments, collaboration with developersDevelopment teams, client-facing projects, coding environments
CertificationsTesting certifications, AI/ML knowledgeProgramming certifications, NLP courses

Chatgpt Integration Testing primarily focuses on verifying the seamless integration of ChatGPT into existing systems, ensuring APIs and AI components work correctly. In contrast, a Chatbot Developer designs and develops chatbots, including coding and user experience. Both roles require technical skills but differ in their core responsibilities and focus areas.

More about Chatgpt Integration Testing jobs
What cities are hiring for Chatgpt Integration Testing jobs? Cities with the most Chatgpt Integration Testing job openings:
What states have the most Chatgpt Integration Testing jobs? States with the most job openings for Chatgpt Integration Testing jobs include:
What job categories do people searching Chatgpt Integration Testing jobs look for? The top searched job categories for Chatgpt Integration Testing jobs are:
Infographic showing various Chatgpt Integration Testing job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 91% Full Time, and 7% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $62,077 per year, or $29.8 per hour.
QA Engineer (AI-Enabled Testing)

QA Engineer (AI-Enabled Testing)

IntelliTrans

Atlanta, GA

Other

Posted 24 days ago


Job description

QA Engineer (AI-Enabled Testing)

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc. is seeking a QA Engineer (AI Enabled Testing) to join our team, hybrid in Atlanta, GA.

POSITION SUMMARY:

The QA Engineer, AI-Enabled Testing will own test strategy and automation across IntelliTrans' web and mobile applications, using AI assistants as hands-on engineering partners to accelerate coverage, close gaps, and raise the quality bar. This role sits within the Engineering team and works closely with product, development, and DevOps to embed quality throughout the delivery lifecycle.

The ideal candidate treats AI tools like Claude Code, GitHub Copilot, and ChatGPT as daily instruments in their QA practice, not occasional experiments. This position requires a blend of strong automation skills, sharp test architecture instincts, and the judgment to know when to trust AI output and when to override it.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Design and maintain test architecture for web, mobile, and API surfaces, using AI assistants to scaffold frameworks, generate test cases, and surface edge cases that manual planning misses
  • Build and extend automation suites in Playwright, Maestro, Espresso, and Appium; keep them green and integrated into CI/CD pipelines via GitHub Actions
  • Own coverage strategy by cross-validating assumptions across multiple AI models, identifying regression risks, and prioritizing testing effort where it matters most
  • Run defect pattern analysis by feeding release histories, defect logs, and test results into AI tools, turning data into actionable quality insight
  • Integrate AI into everyday QA workflows: test case generation, coverage gap identification, sprint-level quality forecasting, and release risk analysis
  • Build and maintain CI tooling that automatically detects new builds, provisions test environments, and triggers the right test suites without manual intervention
  • Collaborate cross-functionally with product and engineering to shift quality left, contributing to ticket decomposition, requirements review, and implementation planning
  • Mentor and enable teammates by creating AI-generated templates, framework documentation, and coverage maps that help the team ramp quickly
  • Support QA engineer onboarding with structured documentation, testing standards, and coverage baselines
  • Validate REST API contracts via Postman or code-based testing; use SQL for data integrity checks
  • Coordinate go/no-go readiness with engineering and production teams for platform releases

POSITION QUALIFICATIONS:

Education: Bachelor's degree (B.S.) in Quality Assurance or Quality Engineering, or related, from a four-year college or university; or 8+ years of equivalent experience in lieu of degree.

Experience: Minimum of 4+ years of hands-on software QA experience across web and mobile platforms

Skills/Technical:

  • Demonstrated, daily use of AI coding assistants (Claude Code, GitHub Copilot, ChatGPT, Gemini, or similar) applied to real QA work, not just experimentation
  • Strong automation skills in at least two of: Playwright, Maestro, Espresso (Kotlin), Appium, or XCUITest
  • Experience designing CI/CD-integrated test pipelines with GitHub Actions or equivalent
  • Proficiency in JavaScript or TypeScript; working knowledge of Kotlin and Python
  • Solid understanding of REST API testing (Postman or code-based) and SQL for data validation
  • Familiarity with tools such as Jira, TestRail, BrowserStack, Sentry, and Charles Proxy
  • Ability to work independently, maintain coverage under lean conditions, and communicate quality status clearly
  • Experience in logistics, transportation, or supply chain software desired
  • Track record of building QA programs from the ground up or inheriting and scaling existing ones desired
  • Mobile app QA for high-traffic or mission-critical consumer products desired
  • Exposure to Flutter testing or cross-platform mobile frameworks desired
  • Experience with AI-accelerated development tools (Anthropic Claude Code, Microsoft Copilot) desired
  • Familiarity with Firebase App Distribution and mobile build distribution workflows desired

Competencies:

  • Strong curiosity and drive to uncover root cause of defects and find lasting fixes
  • Polished written and verbal communication skills
  • Strong teamwork skills, including the ability to work with teams in different geographic regions
  • Strong planning, scheduling, and organization skills
  • Ability to adapt quickly when team size or priorities shift, maintaining quality coverage under pressure
  • Strong desire to develop deep industry knowledge and increase autonomy as product and industry knowledge increases, ultimately becoming a mentor to other employees
  • Commitment to continuous learning and staying current with emerging AI tools and testing methodologies

IntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirmative action employer.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.