HR for the Intelligence Economy

AI & Machine Learning HR Solutions

Engineering talent retention, AI ethics workforce policies, and rapid-scale HR for AI and machine learning companies nationwide.

  • Serving all 50 states
  • Certified HR practitioners
  • Since 1958
Professionals at work in ai & machine learning
AI & Machine Learning HR Challenges

HR Challenges Unique to Your Industry

  • 1Recruiting and retaining ML engineers, data scientists, and AI researchers
  • 2IP ownership agreements for AI models, training data, and proprietary algorithms
  • 3AI ethics and responsible AI workforce policies for model development teams
  • 4Complex equity compensation for research-heavy AI companies
  • 5Multi-state compliance for distributed remote engineering and data teams
  • 6Contractor classification for freelance data labelers and AI trainers
  • 7Rapid HR infrastructure buildout during funding rounds and scaling phases
Catapult Solutions

How Catapult HR Helps

  • Competitive compensation benchmarking for ML engineers and data scientists
  • IP assignment agreements covering AI models, algorithms, and training data
  • AI ethics and responsible AI workforce policy development
  • Contractor classification for data labelers and external AI trainers
  • Multi-state remote workforce compliance and payroll
  • Rapid HR buildout for growth-stage AI companies post-funding
  • Employment law guidance and HR compliance audits
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By the numbers

Why AI & Machine Learning HR needs a specialist

22%
Projected job growth for computer and information research scientists from 2025 to 2035
$140K
Median annual pay for computer and information research scientists in May 2025
2,900
Openings for computer and information research scientists projected each year, 2025 to 2035
What members say

“It was wonderful working with the compensation team for our comp analysis this year. They were great thought partners and answered all my many questions and what if scenarios.”

Nim Routh, Trustpilot review, July 2026

HR Built for AI Companies, Protecting Your Models and Your People

Our practitioners understand IP ownership, AI ethics policies, and the engineering talent challenges unique to artificial intelligence and ML companies.