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Generative Ai Testing Jobs in Ohio (NOW HIRING)

This role leverages knowledge of AI and Generative AI technologies, prompt engineering and workflows, AI testing and validation, data quality, and process optimization to translate business needs ...

This role leverages knowledge of AI and Generative AI technologies, prompt engineering and workflows, AI testing and validation, data quality, and process optimization to translate business needs ...

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and ... Contribute to CI/CD pipelines, automated testing, and deployment workflows * Participate in code ...

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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 job categories do people searching Generative Ai Testing jobs in Ohio look for? The top searched job categories for Generative Ai Testing jobs in Ohio are:
What cities in Ohio are hiring for Generative Ai Testing jobs? Cities in Ohio with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI Senior Project Manager

Huntington

Columbus, OH • On-site, Remote

Full-time

Posted 27 days ago


Job description

Description

Summary

The Senior Project Manager leads the delivery, testing, adoption, and continuous improvement of AI-enabled and strategic business initiatives that drive measurable value. This role leverages knowledge of AI and Generative AI technologies, prompt engineering and workflows, AI testing and validation, data quality, and process optimization to translate business needs into effective solutions. Working across business and technology teams, the Senior Project Manager manages project scope, schedule, budget, risk, and stakeholder engagement while ensuring responsible AI implementation, successful organizational adoption, and achievement of business objectives. The ideal candidate demonstrates strong leadership, critical thinking, and a continuous learning mindset to drive innovation, operational efficiency, and customer-focused outcomes.

Duties and Responsibilities

  • Partner with business stakeholders to identify, prioritize, and deliver AI-enabled or AI adjacent solutions that improve operational efficiency and business results.
  • Design, refine, and optimize prompts and workflows to improve accuracy, consistency, and usability of Generative AI solutions.
  • Develop and execute AI testing and validation strategies, including functional testing, usability testing, output validation, and user acceptance testing (UAT).
  • Evaluate AI outputs for quality, accuracy, compliance, risk, and alignment with business objectives.
  • Lead organizational change management efforts to support adoption, training, and successful deployment of AI capabilities across the business.
  • Monitor and measure business value realization, adoption metrics, and outcomes associated with AI initiatives.
  • Partner with technology, business, governance, risk, and compliance teams to ensure responsible implementation of AI solutions.
  • Manage the most complex, strategic, and highest visibility projects requiring advanced project management expertise.
  • Work with business unit leaders, sponsors, and key stakeholders to establish project scope, deliverables, budget, timelines, and success criteria.
  • Support business segment goals by providing project management leadership and delivery expertise.
  • Assemble, lead, and manage cross-functional project teams while fostering collaboration and accountability.
  • Proactively identify, assess, and mitigate project risks and issues while implementing appropriate corrective actions.
  • Monitor project progress, communicate status, and facilitate executive-level reporting and decision-making.
  • Ensure project deliverables meet stakeholder expectations, customer needs, and organizational standards.
  • Maintain accountability for successful project execution in a fast-paced, evolving environment.
  • Perform other duties as assigned.

Basic Qualifications

  • Bachelor's Degree
  • 5+ years of project management, program management, technology delivery, process improvement, AI enablement, or digital transformation experience

Preferred Qualifications

  • Experience working with AI tools and platforms (like Microsoft Copilot, Azure AI, OpenAI, Anthropic, or similar)
  • PMP certification
  • Hands-on experience building, testing, or improving AI solutions (including prompt engineering and workflow optimization)
  • Ability to evaluate AI outputs for quality, accuracy, compliance, and business impact
  • Experience supporting or leading technology changes, including helping teams adopt new tools or processes
  • Strong understanding of data quality, business processes, and how AI performance is measured
  • Project management experience, including:
  • Building and managing project schedules
  • Working within established project frameworks and governance
  • Leading cross-functional teams in complex environments
  • Strong communication and stakeholder management skills, with the ability to explain complex topics in a clear, simple way
  • Analytical and problem-solving skills, with a focus on driving measurable business results
  • Experience supporting large-scale business or technology transformation efforts
  • Self-starter who is adaptable, takes ownership, and works well both independently and as part of a team
  • Curious mindset with a genuine interest in staying current on AI trends and emerging technologies


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.