AI & Machine Learning HR Solutions | HR for the Intelligence Economy
Engineering talent retention, AI ethics workforce policies, and rapid-scale HR for AI and machine learning companies in the nation.
AI & Machine Learning HR Challenges
HR Challenges Unique to Your Industry
- !Recruiting and retaining ML engineers, data scientists, and AI researchers
- !IP ownership agreements for AI models, training data, and proprietary algorithms
- !AI ethics and responsible AI workforce policies for model development teams
- !Complex equity compensation for research-heavy AI companies
- !Multi-state compliance for distributed remote engineering and data teams
- !Contractor classification for freelance data labelers and AI trainers
- !Rapid 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
HR Services for AI & Machine Learning Employers
Expert support across the HR functions that matter most to your industry
Compliance
Employee Handbook
AI company handbooks covering IP obligations, data handling, acceptable use, and ethics standards.
HR Consulting
Growth-Stage HR Buildout
Rapid HR infrastructure for AI companies scaling after seed, Series A, or Series B funding.
“We had three researchers leave and take model architectures they claimed were their own. Catapult helped us build IP agreements that protect the company going forward.”
CTO, AI Research Company — 65 employees, Research Triangle, NC