ZipRecruiter

Log In

2

Full Time Ai Tester Jobs (NOW HIRING)

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

AI Testing Architect (GenAI / QA Automation) Work Type: Full-Time/Contract Location: Dallas, Texas Onsite Interview Mode: Virtual + In-Person (depends) Work Auth : Must be authorized to work in the U.

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

AI Testing Architect (GenAI / QA Automation) Work Type: Full-Time/Contract Location: Dallas, Texas Onsite Interview Mode: Virtual + In-Person (depends) Work Auth : Must be authorized to work in the U.

ManTech International

AI Assurance Engineer

Washington, DC · On-site

$141K - $236K/yr

... Type Full time Description & Requirements Elevate your career with MANTECH International ... Responsibilities include but are not limited to: • Support AI testing, evaluation, verification ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within ...

Lockheed Martin

Senior AI Engineer

Offutt Air Force Base, NE · On-site

$116K - $153K/yr

WHO YOU ARE Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for ... testing AI / ML solutions • Engineering experience with AFNWC SMPES, MPAS, NPES Systems EEO ...

Siri InfoSolutions Inc

Mobile Tester

Milford, OH · On-site

$70K - $75K/yr

Fulltime Salary - $70-75K/ annum + Benefits Must Have Technical/Functional Skills We are looking ... Additional weightage to have QA test case coverage using AI models and AI-driven automation ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within ...

next page

Showing results 1-20

All JobsFull Time Ai Tester Jobs

Full Time Ai Tester information

See salary details

$10

$38

$62

How much do full time ai tester jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for full time ai tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What are some common challenges faced by Full Time AI Testers when validating machine learning models?

Full Time AI Testers often encounter challenges related to the complexity and unpredictability of AI systems, such as ensuring models perform accurately across diverse real-world data and edge cases. Testing for bias, fairness, and explainability can also be demanding, as these require specialized tools and a deep understanding of both the data and the algorithms. Additionally, AI Testers must frequently collaborate with data scientists and developers to clarify requirements and reproduce issues, making strong communication skills essential. Keeping up with rapidly evolving AI technologies and best practices is another important aspect of the role.

What are the key skills and qualifications needed to thrive as a Full Time AI Tester, and why are they important?

Thriving as a Full Time AI Tester requires a solid understanding of software testing methodologies, programming fundamentals, and experience with AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with test automation tools (like Selenium or PyTest), version control systems (such as Git), and platforms for AI model deployment is typically necessary. Strong analytical thinking, attention to detail, and effective communication help testers identify issues and collaborate with development teams. These competencies ensure the reliability, accuracy, and fairness of AI systems, which is critical for their safe and effective deployment.

What does a Full Time AI Tester do?

A Full Time AI Tester is responsible for evaluating and validating artificial intelligence systems to ensure they function as intended. Their duties include designing and executing test cases, identifying bugs or issues, and collaborating with developers to improve AI models. They may also assess the fairness, accuracy, and reliability of AI algorithms, and ensure compliance with ethical standards. This role typically requires strong analytical skills, attention to detail, and familiarity with machine learning concepts.
More about Full Time Ai Tester jobs
What cities are hiring for Full Time Ai Tester jobs? Cities with the most Full Time Ai Tester job openings:
What are the most commonly searched types of Ai Tester jobs? The most popular types of Ai Tester jobs are:
What states have the most Full Time Ai Tester jobs? States with the most job openings for Full Time Ai Tester jobs include:
What job categories do people searching Full Time Ai Tester jobs look for? The top searched job categories for Full Time Ai Tester jobs are:
Full Time Ai Tester jobs near you
AI Testing Architect

AI Testing Architect

Select Minds LLC

Dallas, TX • On-site

$120K - $135K/yr

Full-time

Medical

Posted 12 days ago

Job description

Benefits:
  • Competitive salary
  • Health insurance
  • Opportunity for advancement

Job Title: AI Testing Architect (GenAI / QA Automation)
Work Type: Full-Time/Contract
Location: Dallas, Texas Onsite
Interview Mode: Virtual + In-Person (depends)
Work Auth : Must be authorized to work in the U.S.
Domain: Enterprise AI / Agentic AI / AWS Bedrock
Compensation: Competitive, commensurate with experience
We are hiring a senior AI Testing Architect to design and implement AI-driven solutions across software testing and quality engineering. This role focuses on applying Generative AI to improve test coverage, reduce cycle time, and modernize QA practices.
You will work hands-on with engineering and QA teams while also guiding tooling decisions and adoption approaches. This is a high-impact individual contributor role with ownership of architecture, implementation, and practical AI adoption across testing workflows.
Key Responsibilities
* Design and implement AI-driven solutions for test automation, test data generation, and defect detection
* Build and deploy LLM-based workflows (e.g., test case generation, RAG-based validation, anomaly detection)
* Evaluate, select, and integrate AI tools and frameworks for QA and SDLC use cases
* Develop reusable architecture patterns for AI-enabled testing across teams
* Integrate AI solutions into CI/CD pipelines and existing engineering workflows
* Collaborate with Engineering, QA, and DevOps teams to drive practical AI adoption
* Optimize performance, cost, and reliability of AI-based solutions in production
* Provide technical guidance and hands-on support to engineers adopting AI tools
* Contribute to lightweight AI governance practices, including data handling, security, and responsible usage
Required Qualifications
* 8+ years of experience in software engineering, QA automation, or test architecture
* 3+ years of hands-on experience with AI/ML or Generative AI in production environments
* Strong experience with test automation frameworks (Selenium, Playwright, Cypress, PyTest, TestNG)
* Strong programming skills in Python
* Experience building or integrating LLM-based solutions (prompting, RAG, embeddings, vector search)
* Experience integrating solutions into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
* Experience with at least one cloud platform (AWS, Azure, or GCP)
* Strong understanding of software testing principles, QA processes, and SDLC
Preferred Qualifications
* Experience with LangChain or LlamaIndex
* Experience with vector databases (Pinecone, FAISS, Weaviate)
* Exposure to MLOps practices and model lifecycle management
* Experience with AI governance, security, or compliance frameworks
* Prior experience as an AI Architect, Solution Architect, or Principal Engineer
* Experience working in enterprise-scale environments
Technical Stack
* Languages: Python (primary), Java or JavaScript (optional)
* Testing: Selenium, Playwright, Cypress, PyTest, TestNG
* AI/GenAI: OpenAI APIs, LangChain or LlamaIndex, embeddings, RAG
* Data: Vector databases (Pinecone, FAISS, Weaviate)
* Cloud: AWS, Azure, or GCP
* CI/CD: Jenkins, GitHub Actions, Azure DevOps
Success Metrics
* Reduce regression testing cycle time through AI-driven automation
* Improve test coverage and defect detection using AI-generated test assets
* Deliver reusable AI architecture patterns adopted across teams
* Drive measurable adoption of AI tools within engineering and QA workflows