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Ai Qa Jobs in Indiana (NOW HIRING)

nLeague

QA Analyst

Indianapolis, IN · On-site

The use of AI is expected and includes the development of laboratory AI procedures for spreadsheet validations and standard operating procedure validations. Experience Description * Quality Assurance ...

Nectir

Quality Assurance Engineer

Brazil, IN · On-site

$54 - $152/hr

Nectir AI provides 24/7 personalized learning support grounded in course content, without ... What You'll Do QA & Test Automation * Evaluate and implement automated testing tools (e.g ...

Harris

$55K - $65K/yr

Use approved AI-assisted tools, where appropriate, to support test planning, defect analysis, documentation, and release note drafting. * Contribute to continuous improvement of QA processes, testing ...

Guerbet

QA Manager

Princeton, IN

... AI solutions, for diagnostic and interventional imaging. As a pioneer in the field of contrast ... Quality Assurance * Ensure compliance with the legislative requirements as set out by FDA (21 CFR ...

Laboratoire Guerbet

QA Manager

Princeton, IN · On-site

... AI solutions, for diagnostic and interventional imaging. As a pioneer in the field of contrast ... Quality Assurance * Ensure compliance with the legislative requirements as set out by FDA (21 CFR ...

E2 Optics

QA/QC Coordinator

Fort Wayne, IN · On-site

... behind AI, cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with ... Quality Assurance: Develop and execute the E2 Optics Quality Management System (QMS) for every ...

Jobtailor

Software QA Analyst

Zionsville, IN · On-site

$65 - $95/hr

Requirements * 1-3 years of professional experience with software testing, QA tooling, or API test ... Familiarity with LLMs or AI agents (Nice-to-haves). * Python or TypeScript & any CI/CD exposure ...

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Ai Qa information

What is an AI QA?

AI QA (Artificial Intelligence Quality Assurance) professionals are specialists who test and validate machine learning models, AI systems, and related software to ensure they function correctly, reliably, and ethically. They design test cases, evaluate model accuracy, check for biases, and verify compliance with regulatory standards. AI QA experts work closely with data scientists, developers, and product managers to identify issues and improve system performance throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as an AI QA?

To thrive as an AI QA specialist, you need strong analytical skills, knowledge of software testing methodologies, and a solid understanding of AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with testing frameworks like Selenium or PyTest, version control systems like Git, and tools such as TensorFlow or PyTorch for model validation is often required. Attention to detail, problem-solving abilities, and effective communication set top performers apart in this role. These skills ensure the reliability, fairness, and safety of AI systems, which is critical for delivering trustworthy and high-quality AI solutions.

How does an AI QA engineer typically collaborate with data scientists and developers during the model development lifecycle?

AI QA engineers work closely with data scientists and developers throughout the AI model development process. They often participate in sprint planning and daily stand-up meetings to align on testing strategies, clarify requirements, and address potential model issues early. Their responsibilities include designing test cases for model accuracy, fairness, and robustness, as well as validating data pipelines and deployment workflows. Effective communication and a proactive approach are essential, as AI QA engineers help ensure the final model meets quality standards and integrates smoothly into production environments.

What is the difference between Ai Qa vs Data Analyst?

AspectAi QaData Analyst
Required CredentialsTypically certifications in AI, QA, or software testingBachelor's degree in data science, statistics, or related fields
Work EnvironmentTech companies, software development teams, AI-focused projectsBusiness, finance, healthcare, and various industries analyzing data
Employer & Industry UsageTech firms, AI startups, software companiesCorporations across multiple sectors, consulting firms
Common Search & Comparison IntentUnderstanding roles in AI quality assuranceAnalyzing data to inform business decisions

Ai Qa specialists focus on testing and ensuring the quality of AI systems, often requiring knowledge of AI tools and testing protocols. Data Analysts interpret data to generate insights, requiring skills in data visualization and statistical analysis. While both roles work with data and technology, Ai Qa emphasizes quality assurance in AI development, whereas Data Analysts focus on data interpretation for decision-making.

How to become an AI QA tester?

To become an AI QA tester, you should have a strong understanding of software testing principles, familiarity with AI and machine learning concepts, and experience with testing tools and scripting languages. Gaining knowledge of AI models, data validation, and quality assurance processes is essential, and certifications in software testing or AI can enhance your qualifications.

What are popular job titles related to Ai Qa jobs in Indiana?

For Ai Qa jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Qa jobs in Indiana look for?

The top searched job categories for Ai Qa jobs in Indiana are:

What cities in Indiana are hiring for Ai Qa jobs?

Cities in Indiana with the most Ai Qa job openings:

Ai Qa jobs near you
Infographic showing various Ai Qa job openings in Indiana as of August 2026, with employment types broken down into 47% Full Time, 20% Part Time, and 33% Contract. Highlights an 79% In-person, and 21% Remote job distribution.

Senior Quality Assurance (QA) Engineer

Atlanta, IN • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$120 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

This position is responsible for designing, building, and maintaining the automated testing frameworks, QA infrastructure, and quality processes that validate software health from commit to production. This role will work closely with software engineers, DevOps engineers, product owners, and business stakeholders to embed automated validation throughout the software development lifecycle (SDLC), ensuring that rapid delivery does not come at the cost of stability or quality. This role will also aid in the evolution of the test automation stack and the adoption of AI-assisted testing practices built on large language models (LLMs) and AI orchestration tooling.

The ideal candidate combines a quality engineering mindset with a strong DevOps foundation, including CI/CD pipelines, infrastructure as code, bare-metal and on-premises infrastructure, and source control systems such as Git.

This role has a flexible work arrangement, meaning we are open to employees working remotely or in-office. Periodic travel to the Atlanta, IN office is expected.

As a member of the Beck’s Family of employees, all full-time employees are eligible for a generous benefits package:

  • Health benefits including two medical plan options and company HSA contributions, dental, vision, employer paid life/AD&D for you and your dependents, disability insurance, and access to an onsite Nurse Practitioner
  • 401k plan match & company sponsored pension plan and access to a Financial Advisor to help you manage your retirement savings
  • Paid time off, Paid Holidays, Wellness Programs, & Corporate Discounts
  • Company Christmas Party, Free Lunch, Two Hundred Dollar Merchandise Allowance, & Much More
Responsibilities
  • Design, develop, and maintain automated test suites (UI, API, integration, and regression) in TestCafe, and aid in the ongoing evolution of the test automation framework and tooling.
  • Build and maintain QA infrastructure and tooling — test environments, test data management, and test runners — using infrastructure-as-code and containerization practices.
  • Integrate automated testing into CI/CD pipelines as quality gates, in collaboration with DevOps and development teams, to improve release speed, quality, and reliability.
  • Apply test automation best practices, including the testing pyramid, maintainable test architecture, flaky-test management, and actionable reporting.
  • Evaluate and adopt AI-assisted testing capabilities — LLMs and AI orchestration tooling (e.g., Hermes, Autonoma, in-house solutions) — for test generation, failure triage, and expanded coverage.
  • Champion quality across the full SDLC, participating in requirements reviews, design discussions, and release readiness decisions to shift testing left.
  • Monitor test and pipeline health, troubleshoot failures, and implement improvements for stability and scalability.
  • Track and report quality metrics such as test coverage, defect trends, and escaped defects to inform release decisions.
  • Perform exploratory, performance, and security-focused testing where automated coverage is insufficient.
  • Mentor engineers on test automation practices and maintain documentation for frameworks, processes, and operational procedures.
Job Requirements

Education:

  • BS in computer science, engineering, or a related field plus 10+ years’ experience in software quality assurance, test automation, software development, or DevOps engineering

Technologies:

  • Deep understanding of the SDLC and QA methodologies, including test planning, risk-based testing, the testing pyramid, and defect lifecycle management.
  • Experience building UI and API test automation with frameworks such as TestCafe, Playwright, Cypress, or Selenium; ability to lead the adoption of Autonoma or similar orchestration tooling.
  • Proficiency in JavaScript/TypeScript and one or more scripting languages such as Python, Bash, or PowerShell.
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps, including integrating automated test stages and quality gates.
  • Working knowledge of DevOps and infrastructure-as-code tooling such as Terraform, Ansible, and Docker for maintaining QA environments and tooling.
  • Familiarity with AI tech stacks, LLMs, and AI orchestration tooling such as Hermes or OpenClaw, and their application to testing workflows.
  • Experience with source control systems such as Git.
  • Strong troubleshooting, problem-solving, and communication skills; ability to work collaboratively across technical and non-technical teams.
Experience
  • Ten (10)+ years’ experience in software quality assurance and test automation, including hands-on experience supporting CI/CD pipelines, DevOps tooling, or QA infrastructure. Familiarity with infrastructure, product, design, and development workflows.

In an effort to provide a safer, drug-free workplace for employees, all full-time applicants to whom offers of employment are made must submit to a drug test and background check, subject to applicable local, state, or federal laws or regulations. Employment at Beck's is contingent upon passing these pre-employment screenings.

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