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Ai Risk Analyst Jobs in Portland, OR (NOW HIRING)

micro1 AI

Legal AI Trainer - Remote

Portland, OR · Remote

$80 - $105/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Portland, OR · Remote

$80 - $105/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

SSI People

Information Security Analyst

Beaverton, OR · On-site

We are seeking an experienced information security professional to support risk assessments ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Hp

AI Solutions and Adoption Lead

Vancouver, WA · On-site

$174K/yr

The ideal candidate has personally helped launch AI, automation, analytics, digital, or workflow ... Prioritize use cases based on business value, feasibility, data readiness, user adoption, and risk.

Hp

AI Solutions and Adoption Lead

Vancouver, WA

$174K/yr

The ideal candidate has personally helped launch AI, automation, analytics, digital, or workflow ... Prioritize use cases based on business value, feasibility, data readiness, user adoption, and risk.

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Portland, OR

Ai Risk Analyst information

See Portland, OR salary details

$16

$42

$69

How much do ai risk analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for ai risk analyst in Portland, OR is $42.94, according to ZipRecruiter salary data. Most workers in this role earn between $31.63 and $52.26 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What are popular job titles related to Ai Risk Analyst jobs in Portland, OR? For Ai Risk Analyst jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Portland, OR look for? The top searched job categories for Ai Risk Analyst jobs in Portland, OR are:
What cities near Portland, OR are hiring for Ai Risk Analyst jobs? Cities near Portland, OR with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Portland, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $89,315 per year, or $42.9 per hour.

Information Risk Analyst - AI

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 7 days ago

Job description


Title: Information Risk Analyst - AI
Duration: 12 Months - (Possible Extensions)
Location: Portland, OR - Remote
Work Hours: 8-5 PST
Job Description
  • The AI Information RiskAnalyst will be responsible for identifying, evaluating, and mitigatingrisks associated with the use of generative AI technologies in ourorganization. This role requires a blend of technical expertise,analytical skills, and strong ethical judgment to ensure that our AIinitiatives are both effective and compliant with regulatory standards.
  • 5 IRM team members whoperform Risk assessments for applications and projects. Standardapplications are used in daily tasks
  • Will be supporting theanalysis AI products (Anthropic Model Claude 3 and Microsoft Azure GPT 4)and Compnay applications (a Generative AI application implementationwith sub bots serving specific business areas)
  • Above mentioned models arebeing used within Company internal VPC with no access to internet.
  • A Security Analyst orInformation Risk Analyst with exposure, training, and maybe 1-2 projectscould meet this need
  • Working with project teamanalyzing use cases for AI implementation. This person will embed with theChatAI project team daily to understand the security needs for theupcoming roadmap items and will be a liaison to communicate any securityrequirements.

Key Responsibilities
  • Conduct comprehensive riskassessments of generative AI systems, identifying potentialvulnerabilities and threats.
  • Collaborate withcross-functional teams to design and implement robust AI securitymeasures.
  • Ensure compliance withrelevant legal, regulatory, and industry standards related to AI and dataprivacy.
  • Develop and maintain riskmanagement frameworks and policies specific to AI applications.
  • Perform regular audits andassessments to monitor the effectiveness of risk mitigation strategies.
  • Provide expert guidance on AIethics and responsible AI practices.
  • Prepare detailed reports andpresentations on risk assessment findings and recommendations for seniormanagement.
  • Stay updated with the latestadvancements in AI, cybersecurity, and risk management practices.

Requirements
REQUIREMENTS
  • Utilities experience notrequired but good to have.
  • Education Requirements(Experience in Lieu of Degree): Any AI certifications
  • Certification Requirements(Any Preferences): CIAP (nice to have)
  • How many years of experienceare you looking for? 5-10 of risk experience, 2 years AI

Top 3 Must-Haves (Hard and/or Soft Skills)
  • Understanding of AI/MLconcepts, algorithms, and models.
  • In-depth familiarity withcybersecurity principles and practices.
  • Understanding of ITinfrastructure, cloud platforms (AWS, Azure, Google Cloud), and theirsecurity protocols.

Top 3 Nice-To-Haves (Hard and/or Soft Skills)
  • Ability to think analyticallyand critically about potential risks.
  • Ability to work effectivelywith cross-functional teams, including data scientists, IT professionals,legal advisors, and business leaders.
  • Strong sense of ethics andresponsibility regarding AI deployment and its societal impacts.

Apply