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Ai Alignment Jobs in Minnesota (NOW HIRING)

This role will integrate models and AI solutions into enterprise systems and field applications, working closely with cross-functional teams, to ensure alignment between business needs and data ...

AI Solutions Manager

Centerville, MN ยท On-site +1

$83K - $89K/yr

Evaluates standalone AI tools for organizational alignment, data security and practical value * Oversees, configures and optimizes approved AI tools for Eagle Brook Church's specific workflows and ...

AI Solutions Manager

Centerville, MN ยท On-site

$83K - $89K/yr

Evaluates standalone AI tools for organizational alignment, data security and practical value * Oversees, configures and optimizes approved AI tools for Eagle Brook Church's specific workflows and ...

This role is aligned with a dynamic team at the forefront of technological innovation creating cutting-edge AI for intelligent solutions that transform how our customers operate for enhanced ...

Define and lead the enterprise AI literacy and AI academy strategy aligned to business priorities, workforce needs, and responsible AI principles * Build a multi-level AI learning curriculum for ...

New

This role will integrate models and AI solutions into enterprise systems and field applications, working closely with cross-functional teams, to ensure alignment between business needs and data ...

This role will integrate models and AI solutions into enterprise systems and field applications, working closely with cross-functional teams, to ensure alignment between business needs and data ...

This role will integrate models and AI solutions into enterprise systems and field applications, working closely with cross-functional teams, to ensure alignment between business needs and data ...

Senior AI Engineer (Hybrid)

Saint Paul, MN ยท Hybrid

$105K - $145K/yr

You'llact as a highly collaborative internal consultant partnering with teams across the company to ensure AI solutions are scalable, sustainable, secure, and aligned with enterprise strategy.You ...

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Ai Alignment information

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are common in top tech companies or specialized AI firms for senior or executive-level professionals.

How to become an AI alignment researcher?

To become an AI alignment researcher, typically a strong background in computer science, machine learning, or related fields is required, often including advanced degrees such as a master's or Ph.D. in these areas. Developing expertise in AI safety, ethics, and formal verification, along with programming skills in Python and familiarity with AI frameworks, is essential. Gaining research experience through academic projects, internships, or contributing to open-source initiatives can also be valuable for entering this specialized field.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

What are the key skills and qualifications needed to thrive as an AI Alignment Specialist, and why are they important?

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

Which 3 jobs will survive AI?

AI alignment professionals, software engineers specializing in AI safety, and ethicists focused on AI governance are likely to continue being in demand as AI technology advances. These roles require specialized knowledge, critical thinking, and oversight skills that are difficult to automate. Continuous learning and expertise in AI tools and ethical frameworks are essential for these jobs to remain relevant.

What is an AI alignment?

AI alignment in the context of AI safety and ethics refers to designing and developing artificial intelligence systems so that their behaviors and outcomes align with human values and intentions. AI alignment specialists work to ensure that AI systems act reliably and safely, often using techniques like value specification, interpretability, and robustness testing. This field requires skills in machine learning, ethics, and programming, and is critical for creating beneficial and trustworthy AI systems.
What are popular job titles related to Ai Alignment jobs in Minnesota? For Ai Alignment jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Ai Alignment jobs? Cities in Minnesota with the most Ai Alignment job openings:
Infographic showing various Ai Alignment 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.
Enterprise AI Solutions Lead (Applied AI & Analytics)

Enterprise AI Solutions Lead (Applied AI & Analytics)

Onto

Bloomington, MN โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient.

Job Summary & Responsibilities

AI Solution Architecture & Design

  • Architect endtoend AI solutions, defining patterns for data ingestion, model usage, orchestration, validation, security, and integration into enterprise systems.

AI Enablement & Cross Functional Support

  • Enable teams across IT, Finance, HR, Legal, Operations, Supply Chain, Engineering, and other functions to adopt AI effectively and responsibly.
  • Act as a hands-on technical advisor, helping teams shape AI use cases, solution designs, and implementation approaches.
  • Provide guidance on when and how AI should be applied versus traditional automation or analytics.
  • Evanglize AI and co-lead AI cross functional AI champion network.
  • Develop reference examples, patterns, and lightweight guidance that help teams' self-serve while remaining aligned to enterprise standards.

Applied AI Solution Delivery

  • Design and implement AI enabled workflows, automation, and analytics solutions where direct development is required.
  • Prototype solutions, validate value, and mature successful approaches into reusable or production ready implementations.
  • Support integration of AI outputs into business processes and systems, including reporting, decision support, and operational workflows.
  • Balance speed with maintainability by applying appropriate documentation, validation, and operational considerations.

AI Technology Evaluation & Vetting

  • Evaluate emerging AI tools, platforms, and capabilities to determine enterprise fit and risk.
  • Build ROI measurement frameworks for rollout of AI capability.
  • Provide informed recommendations on adoption, pilots, or rejection of AI technologies in partnership with IT, Security, and Data & Analytics leadership.
  • Help ensure a controlled and intentional expansion of Onto's AI toolset over time.

Data & Analytics Alignment

  • Partner with data owners and analytics teams to ensure AI solutions leverage trusted, governed data sources.
  • Apply strong analytical thinking to measure impact, validate outputs, and communicate results.
  • Support development of metrics and reporting to track AI adoption and value realization.

Responsible & Secure AI Usage

  • Define and enforce AI architecture patterns that align data classification, access control, and least-privilege principles with enterprise security and governance standards.
  • Ensure AI solutions align with enterprise security, privacy, compliance, and IP protection requirements.
  • Promote responsible AI practices, including transparency, appropriate human-in-the-loop validation, and awareness of tool limitations.
  • Help reinforce consistent, responsible AI usage practices through examples and guidance.

Qualifications

Required

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data & Analytics, or equivalent practical experience.
  • 5-7 years of overall professional experience delivering technical solutions, automation, analytics, or software development in an enterprise environment.
  • Experience enabling or supporting other teams in adopting new technologies or technical capabilities.
  • Strong analytical and problem-solving skills, with the ability to navigate ambiguous problem spaces and large data sets
  • Excellent communication skills, with the ability to work effectively across technical and nontechnical stakeholders.
  • Demonstrated experience architecting enterprise-grade AI or advanced analytics solutions, from use-case definition through production deployment.

Technical Qualifications

  • Handson experience with Python, PowerShell, and/or other scripting languages for automation, integration, and data processing.
  • Experience building or supporting AI enabled solutions using enterprise AI tools and platforms (not custom LLM development).
  • Experience working in a Microsoftcentric enterprise environment, including Microsoft AI, automation, and data platforms.

Preferred

  • Experience in manufacturing, semiconductor, hightech, or capital equipment environments.
  • Familiarity with additional AI tools and platforms beyond Microsoft (e.g., Claude or similar technologies), applied in a pragmatic, enterprise context.
  • Experience contributing to technology evaluation, pilot programs, or platform standardization efforts.
  • Experience working across both cloud and on-prem systems.

Why Join Onto Innovation?

At Onto Innovation, we believe your work should matter-and so should your well-being. That's why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we've got you covered. You'll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting-edge tools-all within a collaborative, inclusive culture where your contributions are valued and recognized.

Compensation & Growth

Base Salary Range:

$115,200.00 - $172,800.00, offered in good faith and based on experience, location, and qualifications.
  • Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success.

Empowering Every Voice to Shape the Future:

Onto Innovation is committed to creating a workplace where every qualified candidate has an equal opportunity to succeed. We evaluate applicants based on skills, experience, and potential - without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We believe diversity of thought and background drives innovation and strengthens our team.

Important Note on Export Compliance

For certain positions requiring access to technical data, U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).


ONTO logo

About ONTO

Sourced by ZipRecruiter

Industry

Specialized design services

Company size

1 - 10 Employees

Headquarters location

New York, NY, US

Year founded

2021