Full Time Ai Automation information
See salary details
$48.5K - $59.9K
1% of jobs
$59.9K - $71.4K
4% of jobs
$71.4K - $82.8K
13% of jobs
$87.4K is the 25th percentile. Wages below this are outliers.
$82.8K - $94.3K
18% of jobs
The median wage is $102.9K / yr.
$94.3K - $105.7K
19% of jobs
$105.7K - $117.2K
17% of jobs
$120.6K is the 75th percentile. Wages above this are outliers.
$117.2K - $128.6K
12% of jobs
$128.6K - $140.1K
9% of jobs
$140.1K - $151.5K
5% of jobs
$151.5K - $163K
2% of jobs
How much do full time ai automation jobs pay per year?
As of Aug 20, 2026, the average yearly pay for full time ai automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.
A Full Time AI Automation job involves working with artificial intelligence (AI) systems to automate tasks and processes within an organization. Professionals in this role design, develop, and maintain AI-driven solutions that can handle repetitive or complex tasks with minimal human intervention. This could include automating data analysis, customer service, business workflows, or manufacturing processes. Full-time positions typically require expertise in programming, machine learning, and understanding of automation tools. These roles are in high demand as companies look to improve efficiency and reduce costs through technology.
To thrive as an AI Automation Specialist, you need strong programming skills (such as Python), a solid understanding of machine learning principles, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), automation tools (such as UiPath or Automation Anywhere), and cloud platforms is typically required, along with certifications in these technologies. Problem-solving abilities, attention to detail, and effective communication are crucial soft skills that help manage complex projects and collaborate across teams. These skills and qualities are important to design, implement, and maintain robust AI-driven automation solutions that drive efficiency and innovation for organizations.
Professionals in full-time AI automation roles often encounter challenges such as integrating new AI solutions with legacy systems, managing data quality, and keeping up with rapidly evolving technologies. Effective communication with cross-functional teams is crucial to ensure that automation aligns with business objectives and addresses real-world problems. Staying proactive through continuous learning, collaborating closely with IT and business stakeholders, and utilizing agile methodologies can help overcome these challenges and drive successful automation projects.
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