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Ai Risk Jobs in California (NOW HIRING)

Experience partnering with Legal, Security, Data, IT, Product, Engineering, or Compliance teams on AI risk, data access, governance, or responsible AI considerations. * Proven ability to influence ...

Identify, evaluate, prioritize, and document AI use cases based on feasibility, risk, operational impact, public value, implementation complexity, and expected business benefits. * Develop AI ...

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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 California? The most popular types of Ai Risk jobs in California are:
What cities in California are hiring for Ai Risk jobs? Cities in California with the most Ai Risk job openings:
Infographic showing various Ai Risk job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

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Job description

At Alpha and Omega Semiconductor (AOS), we design, develop and globally supply a broad range of power semiconductors, including a wide portfolio of Power MOSFET, IGBT, IPM, TVS, GaN/SiC, Power IC and Digital Power products. You will find our products in everyday applications including personal computers, graphic cards, gaming consoles, TVs, home appliances, smart phones, power tools, and more! At the center of our innovation is our people who bring passion, talent, and a collaborative atmosphere to our growing company. We offer an impressive benefit package and career development opportunities. If you are ready to take the next step in your career working with a team of passionate and talented people, then take a look at the job opportunity below to POWER your career!

Overview
Alpha and Omega Semiconductor (AOS) is exploring how artificial intelligence can enhance productivity and operational efficiency across a global semiconductor organization. We are early in this journey and intentionally taking a measured approach given the risks associated with data security, confidentiality, and AI model training. 

This internship is designed for someone who can help us answer a fundamental question: Where should we start with AI-and how do we do it responsibly?

Duration: Summer 2026, 10–12 weeks

Key Responsibilities

  • Research practical AI use cases relevant to a semiconductor environment (e.g., Sales, HR, engineering workflows, manufacturing support, and corporate functions)
  • Analyze how peer companies and leading organizations are deploying AI tools while protecting confidential and proprietary information
  • Evaluate AI platforms (e.g., Anthropic, OpenAI, enterprise copilots) with a focus on data privacy, model training risk, and enterprise controls
  • Identify "low-risk, high-impact" opportunities for AI adoption within AOS
  • Develop guidelines and recommendations for safe and compliant use of AI, including guardrails around sensitive data
  • Liaise with external AI vendors/partners to understand capabilities, limitations, and security frameworks
  • Synthesize findings into clear, executive-ready recommendations, including a proposed starting roadmap

Qualifications

  • Currently pursuing a degree in Business, HR, Engineering, Data Science, or related field
  • Strong research and critical thinking skills; able to separate hype from practical application
  • Interest in AI with an appreciation for data privacy, security, and compliance considerations
  • Ability to communicate complex topics in a clear, business-oriented way
  • Comfortable navigating ambiguity-we are building the playbook as we go

What You'll Gain

  • Hands-on experience shaping how a global semiconductor company approaches AI adoption
  • Exposure to real-world considerations around AI risk, governance, and data protection
  • Opportunity to interact with leading AI providers and influence early-stage strategy
  • Visibility with senior leadership through presentations and recommendations

Alpha and Omega Semiconductor, Inc is committed to diversity in our workplace. Qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, age, color, ethnicity, marital status, sex, religion, national origin, sexual orientation, gender, gender identity, disability, protected veteran status or any other category protected by federal, state or local law.