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Generative Ai Testing Jobs in Minnesota (NOW HIRING)

Lead AI Engineer

Eden Prairie, MN · Remote

$104K - $137K/yr

... testing and validation, deployment practices, and technical documentation - building on the foundation established by the Director of Generative AI. Deployment, Operations & Security * Own the ...

AI Engineer

Minneapolis, MN · On-site

$69K - $134K/yr

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Transition prototypes into production applications using CI/CD pipelines, automated testing, and ...

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Transition prototypes into production applications using CI/CD pipelines, automated testing, and ...

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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 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.
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What job categories do people searching Generative Ai Testing jobs in Minnesota look for? The top searched job categories for Generative Ai Testing jobs in Minnesota are:
What cities in Minnesota are hiring for Generative Ai Testing jobs? Cities in Minnesota with the most Generative Ai Testing job openings:
Sr Director, Responsible AI Assurance & Validation - Remote

Sr Director, Responsible AI Assurance & Validation - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 3 days ago


UnitedHealth Group rating

7.5

Company rating: 7.5 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

225th of 870 rated healthcare providers


Job description

UnitedHealth Group is a health care and well-being company that's dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses, UnitedHealthcare and Optum, working to build a better health system for all. Here, your contributions matter as they will help transform health care for years to come. Make an impact with a team that shares your passion for helping others. Join us to start Caring. Connecting. Growing together.
This role is part of UnitedHealth Group's Responsible AI Program. The Senior Director, Responsible AI Assurance & Validation will provide technical and strategic leadership for a team of data scientists focused on advancing responsible, ethical, and compliant AI solutions across healthcare applications.
This position combines deep expertise in data science with healthcare innovation, AI ethics, and regulatory compliance. The Senior Director, Responsible AI Assurance & Validation will set the technical direction for responsible AI testing and validation methodologies, oversee model risk evaluation practices, and ensure scalable, repeatable governance processes across AI use cases-including Generative AI and traditional machine learning systems.
In this role, you will partner closely with Legal, Compliance, Information Security, Business, and AI Engineering teams to proactively identify and mitigate risk. You will lead the development of robust testing frameworks and champion best practices that shape the future of ethical AI in healthcare.
This leader will manage and mentor a team of data scientists, fostering technical excellence, continuous learning, and a solid culture of accountability and innovation.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Define and execute the technical vision and roadmap for responsible AI testing and validation across AI/ML systems
  • Establish scalable evaluation frameworks for traditional ML and Generative AI systems, including LLM-based applications
  • Evaluate and prioritize AI risks based on business impact, regulatory exposure, patient/member safety, and reputational considerations
  • Distinguish between critical risks requiring remediation and manageable risks addressable through mitigation strategies and monitoring controls
  • Lead structured risk review discussions and provide clear recommendations
  • Support the design and implementation of automated testing pipelines and validation methodologies
  • Ensure comprehensive documentation of testing protocols, validation findings, and risk assessments
  • Serve as a subject matter expert on responsible AI principles and regulatory considerations
  • Communicate complex technical findings in practical, business-relevant terms to executive and non-technical audiences
  • Demonstrate executive presence and sound judgment when advising on high-visibility or sensitive AI deployments
  • Represent the Responsible AI team in cross-functional working groups and leadership forums.
  • Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work
  • Provide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvement

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 10+ years of experience in computer science, applied mathematics, applied statistics, or related quantitative fields
  • Demonstrated expertise in AI ethics, fairness evaluation, and model risk management
  • Proven sound analytical, problem-solving, and strategic thinking skills
  • Experience within healthcare systems, including, for example, claims processing, call centers, clinical workflows, and healthcare operations
  • Experience managing high-performing, experienced data scientists, setting team vision and prioritizing work across multiple concurrent initiatives

Preferred Qualifications:
  • Demonstrated familiarity with regulatory frameworks impacting AI in healthcare (e.g., HIPAA, CMS guidelines, emerging AI regulations)
  • Experience with conversational AI systems, prompt engineering, adversarial testing, and red teaming
  • Demonstrated understanding of information security principles as applied to AI systems
  • Experience translating complex business needs into scalable technical solutions
  • Proven ability to influence senior stakeholders and drive enterprise-wide adoption of best practices

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $159,300 to $273,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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