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Generative Ai Testing Jobs in Oklahoma (NOW HIRING)

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

Evaluate and implement agentic / generative AI capabilities with appropriate guardrails and human ... Establish standards for architecture, testing, monitoring, documentation, releases, and support

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

Evaluate and implement agentic / generative AI capabilities with appropriate guardrails and human ... Establish standards for architecture, testing, monitoring, documentation, releases, and support

SageNet

AI Engineer

Tulsa, OK · On-site

Contribute to the evaluation, testing, and adoption of emerging AI technologies, including generative AI and large language model (LLM) solutions * Assist with building scalable AI workflows and ...

Humana

... put generative AI in the hands of real users - not just prototypes or notebooks. The ideal ... Drive engineering best practices across the team: code review, testing, CI/CD, documentation, and ...

Humana

... put generative AI in the hands of real users - not just prototypes or notebooks. The ideal ... Drive engineering best practices across the team: code review, testing, CI/CD, documentation, and ...

SageNet LLC

AI Engineer

Tulsa, OK

Contribute to the evaluation, testing, and adoption of emerging AI technologies, including generative AI and large language model (LLM) solutions * Assist with building scalable AI workflows and ...

Humana

... put generative AI in the hands of real users - not just prototypes or notebooks. The ideal ... Drive engineering best practices across the team: code review, testing, CI/CD, documentation, and ...

Deloitte

AI Security Engineer Manager

Tulsa, OK · On-site

Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role ... and Generative AI solutions. You will operate hands-on across high-visibility initiatives ...

BravoTech

Project Engineer IV

Tulsa, OK · On-site

... on development, testing, and debugging * Defines technical vision and guides the team in ... Leverages generative AI concepts, prompt engineering, AI assisted development, and ethical AI ...

Pwc

US Tech - AI Engineering Senior Associate

Tulsa, OK · On-site

$55K - $187K/yr

... and validate Generative AI agents and data pipelines, promoting reliability, scalability, and ... Responsibilities - Apply automated testing and governance controls effectively - Analyze complex ...

Brunswick

Web Content Specialist

Tulsa, OK

AI-Assisted Workflow & Continuous Improvement * Actively use AI tools (e.g., generative AI ... testing as assigned by the Web Operations Lead. * Document procedural gaps, edge cases, and CMS ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

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

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Oklahoma? For Generative Ai Testing jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Oklahoma look for? The top searched job categories for Generative Ai Testing jobs in Oklahoma are:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Oklahoma as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

Robert Half

Tulsa, OK • On-site

$100K - $125K/yr

Full-time

Posted 9 days ago

Job description

A Tulsa based company is looking for an AI Engineer. You will help shape the future of intelligent automation and enterprise technology by developing AI-driven solutions that improve operational efficiency, enhance customer experience, and support large-scale managed services environments. In this role, you will work closely with Automation Engineers to design, develop, and implement AI models and algorithms that strengthen service offerings, expand automation capabilities, and support scalable enterprise solutions. You will also collaborate cross-functionally with engineering, operations, and technology teams to identify opportunities for AI-driven improvements and business innovation.

If you enjoy working in fast-paced environments and are excited by emerging technologies and partnering across teams, please apply today.


Key Responsibilities

  • Develop and deploy AI models and algorithms to solve business challenges
  • Partner with Automation Engineers to integrate AI solutions into existing systems and workflows
  • Analyze, clean, and preprocess data to ensure quality and relevance for AI applications
  • Research and evaluate emerging AI technologies, including generative AI and machine learning solutions, to support innovation
  • Contribute to the testing, evaluation, and adoption of generative AI and large language model (LLM) technologies
  • Help build scalable AI workflows and integrate AI capabilities into enterprise systems and operational processes
  • Deliver reliable, effective AI solutions that support high levels of customer satisfaction
  • Document AI processes and maintain accurate records of model development, testing, and deployment
  • Support AI solutions designed for large-scale enterprise environments across industries such as retail, healthcare, finance, utilities, and energy



Qualifications

  • Bachelor’s degree in computer science, engineering, or a related field
  • 2 + years of experience working with AI technologies
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities
  • Proficiency in Python, R, Java, or similar programming languages
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Exposure to cloud-based AI tools, enterprise automation platforms, or LLM technologies.


Robert Half logo

About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948

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