1

Ai Risk Analyst Jobs in Hialeah, FL (NOW HIRING)

No prior AI experience is required--your pharmacovigilance expertise, analytical skills, and ... Assess safety findings, signal evaluations, and benefit-risk conclusions for accuracy and ...

Ensure responsible and compliant AI adoption, aligned with AI governance, model risk management, data privacy, and security controls . * Guide the integration of AI/ML capabilities into analytics ...

KPI Performance management, risk and opportunity analysis, continuous improvement 3. Dashboard Development (Power BI) / AI and Process Automation (20%) * Design, develop, and maintain Power BI ...

KPI Performance management, risk and opportunity analysis, continuous improvement 3. Dashboard Development (Power BI) / AI and Process Automation (20%) * Design, develop, and maintain Power BI ...

Finance Analytics & AI Senior Consultant

Miami, FL ยท On-site

$111K/yr

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Senior Consultant, you'll work with the best in the ...

Financial Risk Senior Consultant

Miami, FL ยท On-site

$111K/yr

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Strong analytical, critical thinking, and organizational skills * Enthusiasm for developing ...

As technology and AI continue to reshape the consulting landscape, we are looking for individuals ... Conducting periodic holistic reviews of higher risk individuals or entities. * Reviewing and ...

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

Showing results 41-60

Ai Risk Analyst information

See Hialeah, FL salary details

$13

$36

$59

How much do ai risk analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai risk analyst in Hialeah, FL is $36.67, according to ZipRecruiter salary data. Most workers in this role earn between $27.02 and $44.62 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 Hialeah, FL?

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

What job categories do people searching Ai Risk Analyst jobs in Hialeah, FL look for?

The top searched job categories for Ai Risk Analyst jobs in Hialeah, FL are:

What cities near Hialeah, FL are hiring for Ai Risk Analyst jobs?

Cities near Hialeah, FL with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Hialeah, FL as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $76,265 per year, or $36.7 per hour.

Pharmacovigilance Expert - Remote

YO AI Labs

Miami, FL โ€ข Remote

$70 - $80/hr

Full-time

Posted 12 days ago


Job description

Job Title: Pharmacovigilance Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Pharmacovigilance Experts to contribute their drug safety expertise to an innovative healthcare AI project. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining pharmacovigilance documentation, safety reports, and regulatory content. No prior AI experience is required—your pharmacovigilance expertise, analytical skills, and commitment to data quality are what matter most.

Key Responsibilities
  • Author and review evaluation tasks based on DSURs, PSURs/PBRERs, safety data, and case-level records.

  • Assess safety findings, signal evaluations, and benefit-risk conclusions for accuracy and regulatory alignment.

  • Review reports for compliance with ICH E2F, ICH E2C(R2), and GVP guidelines.

  • Analyze aggregate safety data and reconcile case counts, figures, and inconsistencies across data sources.

  • Evaluate safety conclusions based on new data, events, and regulatory requirements.

  • Provide structured written feedback and rationales to support AI-driven pharmacovigilance tools.

  • Ensure accuracy, completeness, and quality of regulatory safety documentation.

Required Skills
  • Pharmacovigilance

  • Drug Safety Report Authoring

  • DSUR/PSUR/PBRER Review

  • ICH E2F & ICH E2C(R2) Compliance

  • GVP Guidelines

  • Aggregate Safety Data Analysis

  • Signal Management

  • Benefit-Risk Assessment

  • MedDRA Coding

  • Seriousness & Causality Assessment

  • Expectedness Determination

  • Data Reconciliation

  • Regulatory Documentation

  • Structured Written Communication

  • Attention to Detail

Preferred Qualifications
  • 5+ years of pharmacovigilance or drug safety experience within a sponsor, CRO, or consulting environment.

  • Proven experience authoring or reviewing DSURs and/or PSURs/PBRERs.

  • Strong knowledge of ICH E2F, ICH E2C(R2), and GVP guidelines.

  • Hands-on experience with signal management, benefit-risk assessment, MedDRA coding, and safety data analysis.

  • Experience reconciling aggregate safety data with case-level information.

  • Advanced degree in life sciences, pharmacy, nursing, medicine, or related fields (PharmD, MD, MSc, or equivalent).

  • Experience in clinical development safety, post-marketing surveillance, QPPV/deputy QPPV roles, safety committees, or AI-assisted safety review tools is a plus.