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Generative Ai Testing Jobs in Minnesota (NOW HIRING)

Conduct research, testing, and analysis to develop machine learning algorithms and predictive ... Proficiency in Generative AI and prompt engineering. * Proficiency utilizing multiple AI tools such ...

Conduct research, testing, and analysis to develop machine learning algorithms and predictive ... Proficiency in Generative AI and prompt engineering. * Proficiency utilizing multiple AI tools such ...

Conduct research, testing, and analysis to develop machine learning algorithms and predictive ... Proficiency in Generative AI and prompt engineering. * Proficiency utilizing multiple AI tools such ...

... testing, and deploying AI solutions that enhance decision-making, automate workflows, and unlock ... Experience with LLMs, multimodal models, or generative AI (eg. Azure AI Foundry, Google Vertex)

... testing, and deploying AI solutions that enhance decision-making, automate workflows, and unlock ... Experience with LLMs, multimodal models, or generative AI (eg. Azure AI Foundry, Google Vertex)

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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.
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:
Lead Software Engineer AI - (Materia AI)

Lead Software Engineer AI - (Materia AI)

Thomson Reuters

Eagan, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

17th of 426 rated business services


Job description

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
Lead Software Engineer - AI (Materia AI)
Are you excited about building AI-driven software that redefines how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we combine the agility and innovation of a startup with the stability and resources of a global leader. As a Lead Software Engineer, you will play a pivotal role in developing AI-powered systems that enhance accounting workflows through automation, intelligence, and seamless orchestration.
  • The focus is on engineers who can own end-to-end AI systems - from backend services and APIs to LLM-driven workflows in production.

  • -Must have strong hands-on Python backend experience (FastAPI/Flask, APIs, distributed systems).
  • -Exposure to TypeScript/modern frontend frameworks is helpful, but not required.
  • -Proven experience in system design and architecture, building scalable, production-grade systems.
  • -Strong emphasis on Python, backend engineering, and real-world AI applications.
  • -This is a hybrid role, and the interview process may include onsite interactions.

About the Role:
In this role as a Lead Software Engineer, you will:
Innovate in a Startup-Like Environment
Be part of a fast-moving, forward-thinking group that is creating AI-driven software for accounting professionals. You'll work with top AI and software development experts, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the CoCounsel for Tax and Accounting team, formed from the recent acquisition of the startup Materia.
Build AI-Driven Systems
Design and implement backend services that power generative AI agents and orchestration systems. This role requires both creativity and rigor to ensure our AI-driven solutions are performant, reliable, and adaptable to real-world use cases.
Collaborate Across Functions
Work closely with AI/ML engineers, frontend developers, product managers, and designers to build robust services that support generative AI experiences. Help to build out our core AI interfaces such as Conversations, Workspaces, Grid, and Knowledge Base.
Key Responsibilities:
Backend Development & AI Integration
  • Design and build the backend for AI-native products focused accounting research and accounting workflows such as tax filing, tax advisory, and audit.
  • Develop and maintain backend services using Python, FastAPI, and PostgreSQL.
  • Implement AI orchestration systems integrating LLMs from OpenAI, Anthropic, and other providers.
  • Design APIs and backend logic for real-time AI interactions.

Performance & Scalability
  • Ensure backend systems are secure, scalable, and optimized for AI-driven applications.
  • Monitor and enhance system performance, across millions of documents and AI driven interactions

Collaboration & Leadership
  • Lead teams of engineers, AI researchers, and product teams to translate AI capabilities into real-world applications, owning large projects or workstreams.
  • Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.
  • Assist in hiring and mentorship across the org

About You:
You are a fit for the position of Lead Software Engineer if your background includes:
Required Experience & Skills:
  • Bachelors Degree in Computer Science, Computer Engineering, Related Field, or Equivalent Experience
  • 6-8 years of experience in backend development, building scalable web services and APIs.
  • Strong Python skills, with experience in FastAPI, PostgreSQL, and AWS.
  • Experience in distributed systems, API and data model design.
  • Strong debugging skills and a track record of building production-grade software.
  • Strong communication and cross-functional collaboration abilities.
  • Passion for AI-driven software and new engineering paradigms.
  • A creative problem solver who enjoys exploring new technologies.
  • Dedicated to building high-quality, reliable AI-first systems.
  • Comfortable working in a fast-paced, evolving environment.

Preferred Skills & Experience
  • Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic.
  • Knowledge of vector databases, embeddings, or search-based AI.
  • Strong opinions on backend testing strategies and automation.

#LI-TH1
What's in it For You?
  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD.For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com

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