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Generative Ai Testing Jobs in Columbus, OH (NOW HIRING)

Diverse Lynx

Ai/Ml Architect

Marysville, OH

$58.50 - $75.25/hr

Strong understanding of software engineering principles, design patterns, and testing practices ... Experience with generative AI, LLM fine tuning, and RAG architectures. * Background in industry ...

Purple Drive

Lead AI-ML Engineer

Westerville, OH

$99K - $130K/yr

... testing, regression analysis, and variance modeling. • Experience with anomaly detection techniques - supervised, unsupervised, and hybrid approaches. • Experience in Generative AI based ...

Purple Drive Technologies

Lead AI-ML Engineer

Westerville, OH · On-site

$98K - $130K/yr

... testing, regression analysis, and variance modeling. • Experience with anomaly detection techniques - supervised, unsupervised, and hybrid approaches. • Experience in Generative AI based ...

Diverse Lynx

Ai/Ml Architect

Marysville, OH · On-site

$58.50 - $75.25/hr

... testing practices. • Experience mentoring engineering teams and enforcing coding standards. • ... generative AI, LLM fine tuning, and RAG architectures. • Background in industry specific AI use ...

BakerHostetler

Innovation Analyst

Columbus, OH

Develop, test and deploy complex prompts, prompt chains, workflows, and automation to improve the accuracy, consistency, and usability of generative AI outputs. * Conduct prompt testing and quality ...

Deloitte

Agentic AI, AI & Data Senior Consultant

Columbus, OH · On-site

$102K - $139K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... 1 year focused on Generative AI, Agentic AI or multi-agent systems * 2+ years of hands-on ...

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Generative Ai Testing information

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How much do generative ai testing jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for generative ai testing in Columbus, OH is $51.89, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $59.42 per hour, depending on experience, location, and employer.

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 programming. 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 and quality assurance.

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 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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

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 development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

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 Columbus, OH? For Generative Ai Testing jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Columbus, OH look for? The top searched job categories for Generative Ai Testing jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Generative Ai Testing jobs? Cities near Columbus, OH with the most Generative Ai Testing job openings:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Columbus, OH as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 70% In-person, 12% Hybrid, and 18% Remote job distribution, with an average salary of $107,939 per year, or $51.9 per hour.
AI Product Manager Banking & Payments

AI Product Manager Banking & Payments

Svam International, Inc.

Columbus, OH • On-site

Other

Posted 25 days ago

Job description

URGENT REQUIREMENT

AI Product Manager Banking & Payments

Location: Columbus, Cincinnati, or Cleveland, Ohio
Onsite Position Contract to hire

The Role

We are seeking an experienced AI Product Manager to lead the strategy, development, and delivery of AI-enabled capabilities across banking and payments products. This role will partner with cross-functional teams to identify opportunities where artificial intelligence can improve customer experience, operational efficiency, risk management, and digital transformation outcomes within a highly regulated financial services environment.

The ideal candidate combines strong digital product management expertise with hands-on understanding of AI, machine learning, and generative AI capabilities. You will play a key role in shaping AI product strategy, guiding delivery teams, prioritizing use cases, and ensuring AI solutions are scalable, measurable, compliant, and aligned to business objectives.

Responsibilities:

  • Define and execute AI product vision, strategy, and roadmaps across banking and payments platforms.
  • Partner with business, engineering, data science, risk, compliance, legal, and operations teams to deliver AI-enabled solutions that drive measurable outcomes.
  • Identify and prioritize AI use cases based on customer value, business impact, feasibility, and regulatory considerations.
  • Establish product success metrics, monitor performance, and use experimentation and feedback loops to continuously improve AI capabilities.
  • Support responsible AI governance, including risk management, audit readiness, model monitoring, privacy-by-design, and operational controls.

Skills

  • 10+ years of experience in digital product management, technology delivery, digital transformation, or related roles within financial services or regulated industries.
  • Strong experience delivering AI, machine learning, generative AI, automation, or data-driven products from strategy through execution.
  • Deep understanding of AI product lifecycle management, including experimentation, testing, deployment, monitoring, governance, and continuous improvement.
  • Experience partnering with engineering, data science, analytics, design, operations, risk, compliance, legal, and security stakeholders.
  • Ability to translate complex business needs into clear product requirements, delivery priorities, and measurable outcomes using Agile delivery practices.

Bonus Points For

  • Experience within banking, payments, fintech, insurance, healthcare, or other regulated industries.
  • Familiarity with large language models (LLMs), prompt engineering, AI quality evaluation, and responsible AI frameworks.
  • Experience implementing privacy-by-design principles, governance controls, and audit-ready AI delivery practices.
  • Proven success scaling digital or AI-enabled capabilities across multiple business units, customer journeys, or operational workflows.
  • MBA or advanced degree in business, technology, analytics, or a related field.

Please fill in the details below for the submission

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Regards,

Kapil Thapa
Sr. Manager US IT Recruitment

SVAM International | 233 East Shore Road | Suite # 201,Great Neck, NY 11023

Cell: ext 108| Fax: | Email: |

CMMI Level 5 | ISO 9001:2008 |ISO 27001:2013 Company | LISA Award winner

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