1

Ai Risk Jobs in Dublin, CA (NOW HIRING)

Your Mission Define the AI Governance Vision: Establish the long-term product vision, capability strategy, and roadmap priorities for AI Governance, Responsible AI, AI Risk Management, and AI ...

next page

Showing results 1-20

Ai Risk information

See Dublin, CA salary details

$16

$34

$83

How much do ai risk jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai risk in Dublin, CA is $34.16, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $43.61 per hour, depending on experience, location, and employer.

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 Dublin, CA? The most popular types of Ai Risk jobs in Dublin, CA are:
What job categories do people searching Ai Risk jobs in Dublin, CA look for? The top searched job categories for Ai Risk jobs in Dublin, CA are:
What cities near Dublin, CA are hiring for Ai Risk jobs? Cities near Dublin, CA with the most Ai Risk job openings:
Infographic showing various Ai Risk job openings in Dublin, CA as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $71,063 per year, or $34.2 per hour.

Senior AI Risk Researcher, AI.x

Charles Schwab Inc.

San Francisco, CA • On-site

$220K - $280K/yr

Full-time

Posted 17 days ago


Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.
Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.
Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Researcher on AI.x, you will play a key role in bringing these priorities to life by advancing cutting-edge AI research and developing innovative solutions.
This role is more than a research position. It is an opportunity to join a high-profile team shaping Schwab's future with AI, to conduct research that directly influences how AI systems are built and deployed, and to help establish industry-leading practices for responsible AI. As a Senior AI Risk Researcher, you will investigate the risks and failure modes of generative AI systems and agents, with a particular focus on human-centered harms. You will collaborate with compliance, risk and legal to design research programs and evaluation methodologies that examine how AI systems behave under realistic and adversarial conditions; lead risk investigations and red-teaming exercises; and translate findings into practical recommendations for researchers and product teams.
Your work will help identify risks such as misinformation, inappropriate advice, bias, manipulation, harmful content generation and other emerging issues, while engineering teams typically own implementation of technical mitigations, evaluations, and guardrails. You will also s trengthen scientific practices, contribute to Schwab's responsible AI strategy, and bring curiosity, creativity, sound judgment, and a deep appreciation for the human impact of AI systems to help shape the next generation of AI at Schwab.
What you have
Required Qualifications:
  • A master's or other advanced degree in Computer Science, Cognitive Science, Psychology, Sociology, Philosophy, Human-Computer Interaction, Linguistics, Public Policy, Statistics, Law, or a related field, or equivalent industry experience.
  • 8+ years of experience conducting research involving technology, human behavior, decision-making, risk analysis, or related disciplines.
  • 5+ years of experience working with AI systems, machine learning applications, or digital platforms that impact users at scale.
  • Experience designing and executing rigorous qualitative, quantitative, or mixed-methods research.
  • Demonstrated ability to identify, analyze, and communicate complex risks involving technology or AI systems.
  • Experience translating research findings into practical recommendations for product, engineering, business, or governance stakeholders.
  • Strong written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.

Preferred Qualifications:
  • Experience conducting AI red teaming, adversarial testing, trust and safety research, responsible AI assessments, or related evaluations.
  • Expertise in one or more areas including fairness, harmful content, misinformation, or behavioral manipulation.
  • Experience developing methodologies that uncover subtle or unexpected AI failure modes.
  • Experience at a financial institution.
  • Strong analytical and data science fundamentals, including the ability to structure investigations and analyze research findings.
  • Experience working with multidisciplinary teams spanning research, engineering, product, legal, compliance, and risk functions.
  • Curiosity about emerging technologies and their potential impact on clients in the context of financial institutions.