Remote Part-Time Infra & Security Engineer for AI Education

The AI Education Project; United States; Remote; USD 120,000 - 195,000; Part time

Job summary

The AI Education Project is seeking an experienced engineer to build the technical foundation for aiEDU's external-facing products. This part-time role is remote across the U.S. at $150/hour, up to 25 hours/week, with no benefits.

You will work with PMs and leadership to set security standards, develop infrastructure, and mentor the team, ensuring reliable, secure platforms while promoting responsible AI development.

Qualifications

• 3-5 years of software engineering with back-end, infra and security experience.
• Full-stack fluency to production-grade web apps from existing prototypes.
• Experience with AI-assisted development workflows.
• Experience securing production databases (e.g., Supabase) and access control.
• Knowledge of web hosting platforms (Vercel, Netlify) and secure config.
• Credential management and API security experience.
• Ability to document technical concepts for non-technical stakeholders.

Responsibilities

• Ensure external-facing products meet reliability, accessibility, error handling, performance, and security standards.
• Define release bar for features and review production changes before go-live.
• Build shared resources and setup infrastructure for new launches (monitoring, alerts, backups).
• Advise on what shouldn't ship and track launched/retired items.
• Mentor team with guardrails for AI-assisted development and write runbooks.

Skills

Software engineering

Backend engineering

Security engineering

Full-stack

AI-assisted development

Credential management

API security

Authentication

Documentation

Autonomy

Tools

Supabase

Vercel

Netlify

GitHub

Job description

The AI Education Project is seeking an experienced engineer to build the technical foundation for aiEDU's external-facing products. This part-time role is remote across the U.S. at $150/hour, up to 25 hours/week, with no benefits.

You will work with PMs and leadership to set security standards, develop infrastructure, and mentor the team, ensuring reliable, secure platforms while promoting responsible AI development.