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Ai Risk Manager information

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$51.6K

$111.7K

$170.2K

How much do ai risk manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai risk manager in Hesperia, CA is $111,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $129,200.00 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.

What job categories do people searching Ai Risk Manager jobs in Hesperia, CA look for?

The top searched job categories for Ai Risk Manager jobs in Hesperia, CA are:

What cities near Hesperia, CA are hiring for Ai Risk Manager jobs?

Cities near Hesperia, CA with the most Ai Risk Manager job openings:

Ai Risk Manager jobs near you

Engineer in Residence: General Counsel (Mountain View)

AI Fund

Victorville, CA • On-site

$10K/mo

Full-time

Re-posted 5 days ago

Job description

Visiting Engineer: General Counsel

Mountain View, CA

AI Fund – AI Fund / Contract / On-site

What You’ll Build
  • A contract ingestion and parsing pipeline that handles PDFs, Word documents, and email attachments across varying formats and clause structures.
  • A clause extraction and classification system that identifies key terms, obligations, risk provisions, and non‑standard language with high precision.
  • A risk scoring engine that flags contracts or clauses that deviate from company‑approved templates or contain unusual terms.
  • A workflow layer that routes flagged items to the right reviewer with context, reducing the time from contract receipt to approval.
What You’ll Do
  • Design the document processing pipeline for handling the full diversity of enterprise contract formats.
  • Build extraction models that identify and classify contract clauses with precision high enough for legal teams to trust.
  • Develop a risk assessment framework that compares incoming contracts against company playbooks and approved clause libraries.
  • Implement a review workflow that integrates with existing legal tools (CLMs, matter management systems, email).
  • Work with in‑house legal design partners to validate accuracy and build trust in AI‑assisted contract review.
What You Need
  • Strong full‑stack or backend engineering skills. You have built and shipped production systems that process complex documents.
  • Experience with document processing, NLP, or information extraction from unstructured text.
  • Hands‑on experience building with LLMs, particularly for structured data extraction, classification, or reasoning tasks.
  • Ability to build systems where precision matters. Legal teams need to trust the output, so false positive management is critical.
  • Ability to work autonomously and make product and architecture decisions without waiting for direction.
Helpful But Not Required
  • Experience in legal tech, compliance tech, or regulated industry software.
  • Familiarity with contract lifecycle management (CLM) tools or legal workflow systems.
  • Background in document AI, OCR, or PDF processing pipelines.
  • Founder or founding engineer experience building for knowledge‑worker workflows.
Who This Is For

A builder who sees legal operations as a high‑value, underserved vertical for applied AI.
A person who understands that the hardest part is not extraction but precision: legal teams will not use a tool that makes mistakes on important clauses.

What To Know Upfront

This is a 12‑week, full‑time, on‑site residency in Mountain View, California.
Not every residency becomes a company. The goal is to pressure‑test the idea quickly and honestly with real users and customers.
You will be building an AI Fund idea, not bringing your own startup idea into the program.
The process typically includes a Builder Event or equivalent working conversation, then a 48‑hour Builder Challenge, then panel review with AI Fund build leadership.
The compensation is intentionally modest during the residency because the upside, if the idea works, is a founder‑level role.

Compensation
  • $10,000/month for 12 weeks ($30,000 total).
  • This is a contract role during the residency. If the build leads to a funded company, the next step is a founder‑level role with meaningful equity upside.
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