About this role

Review and refine AI-generated outputs related to software engineering, system architecture, and coding standards
Assess the accuracy and practicality of AI-driven recommendations on software design, testing, and implementation
Develop real-world case studies and technical scenarios from your professional experience
Create scenario variations covering software development lifecycle, technical challenges, and industry best practices
Identify and articulate gaps or risks in AI recommendations, providing clear, structured feedback
Influence how AI systems interpret and apply engineering principles and coding standards

Experienced Principal Software Engineer with a strong background in software architecture, development, and technical leadership
Based in the EU or UK
Deep understanding of multiple programming languages, architectural patterns, and software development best practices
Analytical and detail-oriented, capable of delivering actionable, structured feedback
Available 8–20 hours per week and comfortable with remote, asynchronous collaboration

Flexible, project-based freelance assignments – 100% remote
Help shape how AI systems understand and apply software engineering principles
Access ongoing professional development through the 10x Team AI Academy
Supportive community of independent experts with clear briefs and streamlined onboarding

Principal Software Engineer – AI Trainer

Key skills