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Ai Risk Analyst Jobs in Arizona (NOW HIRING)

micro1 AI

Legal AI Trainer - Remote

Peoria, AZ · Remote

$90 - $150/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

AI Legal Counsel - Remote

Tempe, AZ · Remote

$90 - $130/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

Legal AI Trainer - Remote

Buckeye, AZ · Remote

$90 - $150/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

AI Legal Counsel - Remote

Gilbert, AZ · Remote

$90 - $130/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

Legal AI Trainer - Remote

Gilbert, AZ · Remote

$90 - $150/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

AI Legal Counsel - Remote

Peoria, AZ · Remote

$90 - $130/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 ...

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Ai Risk Analyst information

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$14

$37

$61

How much do ai risk analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for ai risk analyst in Arizona is $37.73, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $45.91 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

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 skills and qualifications are needed to be an AI risk analyst?

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.

How does an AI risk analyst 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 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.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

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 understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What are popular job titles related to Ai Risk Analyst jobs in Arizona?

For Ai Risk Analyst jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Risk Analyst jobs in Arizona look for?

The top searched job categories for Ai Risk Analyst jobs in Arizona are:

What cities in Arizona are hiring for Ai Risk Analyst jobs?

Cities in Arizona with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $78,474 per year, or $37.7 per hour.

Toxicology AI Content Reviewer - Remote

Phoenix, AZ • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$50 - $90/hr

Part-time

Re-posted 17 days ago

Job description

Role Title: Chemical Safety & Toxicology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Chemical Safety & Toxicology Experts to contribute to a customer’s project focused on enhancing chemical safety evaluation frameworks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is tailored for professionals with proven backgrounds in chemical weapons nonproliferation, hazardous materials, toxicology, and industrial chemistry—especially those experienced with controlled-substance risks, regulatory protocols, or chemical-risk assessment. Strong communication skills, both written and verbal, are highly valued as you will provide nuanced insights and feedback throughout the engagement.


Scope of Work

  1. Analyze and evaluate data related to chemical safety, toxicological risk, precursor chemicals, and hazardous-substance scenarios.
  2. Review, annotate, and provide critical feedback on documents, datasets, and model outputs related to chemical weapons, toxicology, and hazardous materials.
  3. Contribute expert perspectives on nonproliferation standards, regulatory protocols, and safety operations for chemical handling and risk mitigation.
  4. Develop and refine guidelines for the assessment of chemical and toxicological hazards in realistic and hypothetical situations.
  5. Interpret and explain the implications of chemical interactions, exposure risks, and toxicity profiles for AI training purposes.
  6. Collaborate remotely with project coordinators, providing written and verbal clarifications or additional context as needed.
  7. Identify gaps or inaccuracies in content or model assessments pertaining to chemical safety and toxicology topics.


Preferred Qualifications

  1. Advanced degree (PhD, MD, JD, PsyD, or relevant master’s) in chemistry, toxicology, industrial hygiene, or closely related disciplines.
  2. Minimum 5 years of specialized experience in areas such as chemical weapons nonproliferation, hazardous materials handling, toxicological risk assessment, or chemical safety protocols.
  3. Experience as an independent consultant, policy advisor, response specialist, or safety officer in industry, government, or research settings.
  4. Expertise in controlled substances, precursor risk evaluation, or nonproliferation regulatory frameworks.
  5. Demonstrated ability to communicate complex technical information effectively in both written and verbal formats.
  6. Familiarity with standards for chemical safety, hazardous material management, or toxicology operations in high-stakes environments.
  7. Interest in supporting AI advancement through the application of domain expertise to new and emerging technology platforms.

Apply