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Ai Risk Jobs (NOW HIRING)

Chubb

VP, AI Risk Manager

Whitehouse Station, NJ · On-site

$159.40K - $270.70K/yr

The AI Risk Manager is a VP that plays a critical role in safeguarding the integrity and reliability of our Artificial Intelligence solutions. This expert is dedicated to identifying and managing ...

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How much do ai risk jobs pay per hour?

As of May 29, 2026, the average hourly pay for ai risk in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 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.

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Ai Risk jobs near you

Lead - AI Risk, Governance & Responsible AI - AIRLHV

NavitasPartners

Austin, TX • On-site, Remote

$102.60K - $133.30K/yr

Other

Posted 3 days ago

Job description

Lead - AI Risk, Governance & Responsible AI 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are hiring a Lead for AI Risk & Governance to ensure responsible deployment of AI and GenAI systems across enterprise platforms. 

Key Responsibilities: 

  • Develop and enforce AI governance policies and standards  
  • Manage AI risk, bias detection, and model validation processes  
  • Work closely with ML engineers and data teams for compliance integration  
  • Ensure enterprise-wide adherence to Responsible AI principles  

Required Skills: 

  • Proven experience in AI governance, risk management, or compliance  
  • Strong understanding of cloud platforms (AWS, Azure, GCP)  
  • Hands-on experience with AI/ML lifecycle governance  

Nice to Have / Coverage: 

  • Data Engineering platforms: Databricks, Snowflake, Synapse, BigQuery  
  • ML/AI Engineering: Python, PyTorch, MLOps frameworks  
  • GenAI: Experience governing LLMs, LangChain, agent-based AI  
  • Experience working with cloud/data platform architects  

For more details reach at resumes@navitassols.com.

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