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Generative Ai Testing Jobs in Minneapolis, MN (NOW HIRING)

C4 Technical Services

AI/ML Engineer

Minneapolis, MN · On-site

Generative AI / LLM Application Development Hands-on experience building production-grade LLM ... Azure DevOps to automate application build, testing, validation, security checks, and deployment ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

Design and deploy generative AI and NLP solutions using transformer-based architectures for ... Productionize AI/ML pipelines using CI/CD, testing, monitoring, and observability best practices in ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site +1

$106K - $146K/yr

Design and deploy generative AI and NLP solutions using transformer-based architectures for ... Productionize AI/ML pipelines using CI/CD, testing, monitoring, and observability best practices in ...

US Bank

Lead AI Platform Engineer

Minneapolis, MN · On-site

$107K - $140K/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

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How much do generative ai testing jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for generative ai testing in Minneapolis, MN is $56.08, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $64.23 per hour, depending on experience, location, and employer.

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 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 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 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 do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What are popular job titles related to Generative Ai Testing jobs in Minneapolis, MN?

For Generative Ai Testing jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Minneapolis, MN look for?

The top searched job categories for Generative Ai Testing jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Generative Ai Testing jobs?

Cities near Minneapolis, MN with the most Generative Ai Testing job openings:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $116,645 per year, or $56.1 per hour.

Generative Ai Engineer - Minneapolis, Mn

Minneapolis, MN • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

$76.14 - $85.80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

Job Description A forward-thinking technology and security organization is seeking a Generative AI Prompt Engineer to contribute to the development of AI-powered solutions supporting cybersecurity analysis, vulnerability discovery, and automated security testing efforts. This position is ideal for professionals who thrive in environments where experimentation, technical problem solving, and rapid iteration are key to success.
The team leverages frontier language models and advanced prompting techniques to address real-world security challenges. The individual in this role will help create scalable AI-driven frameworks, improve model effectiveness, and support initiatives focused on identifying meaningful security findings through Generative AI technologies.
Candidates who have successfully built AI solutions, developed complex prompt strategies, and applied AI capabilities to technical problem domains will be particularly well positioned for success. The environment is highly collaborative and focused on turning innovative ideas into practical capabilities.
This is a 12-month contract opportunity located in Minneapolis, MN with a hybrid schedule requiring three days onsite per week. Required Skills & Experience
  • Advanced knowledge of Large Language Models and Generative AI platforms
  • Experience creating, testing, and optimizing sophisticated prompts for technical use cases
  • Proven ability to develop AI harnesses, prompt frameworks, or AI-powered workflows
  • Cybersecurity experience including vulnerability analysis, security testing, threat identification, or related disciplines
  • Understanding of application and infrastructure security concepts
  • Familiarity with DAST, SAST, penetration testing, or vulnerability management practices
  • Software engineering experience using Python, Go, .NET, or similar programming languages
  • Ability to evaluate model performance and improve outcomes through experimentation
  • Strong analytical thinking and troubleshooting skills
  • Effective verbal and written communication abilities
Desired Skills & Experience
  • Background in AI-focused security research
  • Experience performing adversarial model testing or AI red-team activities
  • Knowledge of malware, threat intelligence, and cyber defense methodologies
  • Experience with PostgreSQL, Elasticsearch, Cloud SQL, or comparable database platforms
  • Familiarity with security monitoring, network analysis, and infrastructure risk assessment
  • Exposure to cloud-native environments
  • Kubernetes or GKE experience
  • Experience supporting enterprise-scale security programs
What You Will Be Doing Daily Responsibilities
  • Build advanced prompts and prompting methodologies for AI-driven cybersecurity initiatives
  • Develop frameworks that enable consistent and repeatable AI testing processes
  • Utilize Generative AI technologies to support security investigations and vulnerability analysis
  • Experiment with prompting approaches to improve model accuracy and effectiveness
  • Assess responses generated by AI systems and identify valuable security insights
  • Work alongside security and engineering teams to refine and expand AI capabilities
  • Contribute to research efforts focused on frontier language model applications
  • Support the collection, organization, and operational use of AI-generated findings
  • Build proof-of-concepts and prototypes that can be expanded into scalable solutions
  • Stay informed on emerging trends across AI, machine learning, and cybersecurity
The Offer
  • $76.14/hr - $85.80/hr W2
  • 12-Month Contract
  • Hybrid Schedule (3 Days Onsite)
  • Minneapolis, Minnesota
  • Opportunity to work on advanced AI and cybersecurity initiatives
  • Exposure to emerging Generative AI technologies and enterprise-scale innovation
  • Collaborative team focused on research, experimentation, and real-world implementation
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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