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Ai Risk Jobs in Michigan (NOW HIRING)

OpTech

AI Specialist

Pontiac, MI · On-site

AI Governance & Risk Management * Maintain and enhance the organization''s AI governance framework. * Collaborate with cybersecurity, privacy, legal, and business stakeholders to support responsible ...

Orbotech

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Focusing on responsible AI adoption, policy enforcement, risk management, compliance, platform guardrails, AI inventory, approval workflows, and executive visibility * Ensuring AI is deployed safely ...

New

KLA Corporation

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Focusing on responsible AI adoption, policy enforcement, risk management, compliance, platform guardrails, AI inventory, approval workflows, and executive visibility * Ensuring AI is deployed safely ...

New

KLA

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Focusing on responsible AI adoption, policy enforcement, risk management, compliance, platform guardrails, AI inventory, approval workflows, and executive visibility * Ensuring AI is deployed safely ...

New

KLA Corporation

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Focusing on responsible AI adoption, policy enforcement, risk management, compliance, platform guardrails, AI inventory, approval workflows, and executive visibility * Ensuring AI is deployed safely ...

New

Kla

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Focusing on responsible AI adoption, policy enforcement, risk management, compliance, platform guardrails, AI inventory, approval workflows, and executive visibility * Ensuring AI is deployed safely ...

New

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Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Michigan?

The most popular types of Ai Risk jobs in Michigan are:

What are popular job titles related to Ai Risk jobs in Michigan?

For Ai Risk jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Risk jobs in Michigan look for?

The top searched job categories for Ai Risk jobs in Michigan are:

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Cities in Michigan with the most Ai Risk job openings:

Ai Risk jobs near you
Infographic showing various Ai Risk job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Legal Counsel - AI Trainer

micro1 AI

Warren, MI • Remote

$90 - $130/hr

Part-time

Re-posted 21 days ago

Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

Apply