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Ai Risk Manager Jobs in Topeka, KS (NOW HIRING)

micro1 AI

Lawyer (Asset Management)

Topeka, KS · Remote

$90 - $130/hr

... 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 ...

JLL

Construction Senior Project Manager

Topeka, KS · On-site

$104K - $142K/yr

Develop risk management plans and lead project teams through established work authorization ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

hcmportal

Senior Data Governance Analyst

Leawood, KS · On-site +1

... into AI intake processes, risk assessments, and data asset inventories * Execute information ... Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer ...

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All JobsAi Risk JobsAi Risk Manager JobsAi Risk Manager Jobs in Topeka, KS

Ai Risk Manager information

See Topeka, KS salary details

$48.5K

$105K

$160K

How much do ai risk manager jobs pay per year?

As of Jul 25, 2026, the average yearly pay for ai risk manager in Topeka, KS is $104,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $121,400.00 per year, depending on experience, location, and employer.

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Topeka, KS as of June 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $104,985 per year, or $50.5 per hour.
Lawyer (Asset Management)

Lawyer (Asset Management)

micro1 AI

Topeka, KS • Remote

$90 - $130/hr

Part-time

Posted 9 days ago

Job description

Role Title: Funds Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers 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. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the funds department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including LPA’s, subscription agreements, and side letters.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.


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.

Apply