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Ai Alignment Jobs in Wisconsin (NOW HIRING)

Zendesk

Senior AI Success Strategist

Madison, WI

Internal and External Stakeholder Alignment: Dedicate effort to internal cross-functional collaboration, aligning Product, Professional Services, Sales, Success, and other teams to deliver on the AI ...

New

Rockwell Automation

AI Delivery Manager

Milwaukee, WI · Hybrid

Define solution architectures aligned with Azure AI platform standards, enterprise guardrails, and ISC data governance guidelines. * Establish and apply best practices for prompt design, testing ...

Rite-Hite

Systems Architect - Edge AI/ML

Milwaukee, WI · On-site

$238K/yr

... aligned with cybersecurity, privacy, and safety requirements. • Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based ...

EnerSys

VP Enterprise AI Enablement

Adell, WI

$275K - $315K/yr

Own AI investment governance, ensuring alignment with capital planning, transformation funding, and enterprise portfolio priorities. Portfolio Leadership & Value Realization Own the global AI use ...

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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.
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Ai Alignment jobs near you
LLM Alignment Specialist - Engineering

LLM Alignment Specialist - Engineering

micro1 AI

Milwaukee, WI • Remote

$80 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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