Ai Privacy Counsel information
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$33.5K - $51.8K
1% of jobs
$82.6K is the 25th percentile. Wages below this are outliers.
$70K - $88.3K
9% of jobs
$88.3K - $106.6K
13% of jobs
$106.6K - $124.9K
7% of jobs
The median wage is $128.2K / yr.
$124.9K - $143.1K
12% of jobs
$143.1K - $161.4K
5% of jobs
$161.4K - $179.7K
5% of jobs
$190K is the 75th percentile. Wages above this are outliers.
$179.7K - $198K
9% of jobs
$198K - $216.2K
12% of jobs
$216.2K - $234.5K
10% of jobs
How much do ai privacy counsel jobs pay per year?
As of Sep 9, 2026, the average yearly pay for ai privacy counsel in the United States is $139,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $197,500.00 per year, depending on experience, location, and employer.
An AI Privacy Counsel is a legal professional who specializes in navigating privacy laws and regulations as they relate to artificial intelligence (AI) systems. They advise organizations on how to develop and deploy AI technologies while ensuring compliance with privacy standards such as GDPR, CCPA, and other relevant laws. Their work involves assessing data collection and processing practices, drafting privacy policies, conducting impact assessments, and managing privacy risks associated with AI. Additionally, they often collaborate with engineers, data scientists, and other stakeholders to implement privacy-by-design principles in AI projects.
To thrive as an AI Privacy Counsel, you need a deep understanding of privacy laws (like GDPR and CCPA), experience with AI technologies, and a law degree with relevant bar admission. Familiarity with privacy compliance tools, risk assessment frameworks, and data governance systems is typically required. Exceptional communication, negotiation, and problem-solving skills help bridge the gap between technical teams and legal requirements. These competencies ensure organizations can innovate with AI while minimizing legal risks and maintaining public trust.
AI Privacy Counsels often face the challenge of keeping up with rapidly evolving regulations while ensuring new AI products are compliant from the outset. They must work closely with engineering and product teams to anticipate and mitigate privacy risks, such as data minimization and transparency. Another common hurdle is balancing business innovation with regulatory requirements, often necessitating creative solutions and clear communication across departments. Staying proactive and continuously educating stakeholders about privacy best practices is key to success in this role.
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