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Generative Ai Testing Jobs in Minnesota (NOW HIRING)

ITR Group

Junior AI Engineer

Minneapolis, MN · On-site

Develop and support Generative AI applications using Azure AI services and OpenAI models. * Assist ... Participate in code reviews, testing, debugging, and deployment activities. * Document AI solutions ...

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

US Bank

Lead AI Platform Engineer

Hopkins, MN · On-site

$104K - $137K/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

Doosan

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 ...

DOOSAN

AI Engineer

Minneapolis, MN

$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 ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

Mortenson is currently seeking an AI Engineer that will play a key role in developing, testing, and ... models, or generative AI (eg. Azure AI Foundry, Google Vertex) • Familiarity with agent ...

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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 Minnesota? For Generative Ai Testing jobs in Minnesota, the most frequently searched job titles are:
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:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Minnesota 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.
Junior AI Engineer

Junior AI Engineer

ITR Group

Minneapolis, MN • On-site

Other

Posted 24 days ago

Job description

Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services, Retrieval-Augmented Generation (RAG), and modern cloud technologies. This is an excellent opportunity for an early-career AI engineer with a strong software engineering foundation and a passion for developing AI-powered solutions.


Responsibilities

  • Develop and support Generative AI applications using Azure AI services and OpenAI models.
  • Assist in designing and implementing Retrieval-Augmented Generation (RAG) pipelines.
  • Build document ingestion, indexing, embedding, and retrieval workflows.
  • Develop APIs and backend services supporting AI-powered applications.
  • Work with structured and unstructured data sources to improve AI response quality.
  • Integrate AI solutions with enterprise applications and business workflows.
  • Collaborate with data engineers to prepare and optimize datasets for AI applications.
  • Evaluate AI model performance and continuously improve prompt engineering and retrieval strategies.
  • Participate in code reviews, testing, debugging, and deployment activities.
  • Document AI solutions, technical designs, and best practices.


Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (or equivalent experience).
  • 1–3 years of software engineering or AI development experience.
  • Experience with Python.
  • Understanding of REST APIs and backend development.
  • Familiarity with Large Language Models (LLMs) and Generative AI concepts.
  • Basic understanding of Retrieval-Augmented Generation (RAG) architecture.
  • Experience working with Git and Agile development methodologies.
  • Strong problem-solving and analytical skills.
  • Experience with Microsoft Azure cloud services.




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About ITR Group

Sourced by ZipRecruiter

At ITR Group, we relish the challenge of the ever evolving IT services industry and enjoy being the strategic edge that’s key to our clients’ success. At the same time, we want our consultants to know they have an advocate and a home base. As one of the region’s longest lasting IT consulting groups, these are all elements of our secret sauce, the Everyday Excellence that has helped us thrive.

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mendota Heights, MN, US

Year founded

1997

Social media

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