Micro1 review · AI Training & Data Labeling
Cyber Security Engineer — Backend & Security AI Training (micro1)
What the work involves
micro1 is selecting Cyber Security Engineers to contribute technical expertise to a customer project training next-generation AI systems. You'll apply your expertise to shape how models learn, reason and perform through high-quality, real-world input — no prior AI experience is required, your domain knowledge is what matters. Work is remote, flexible (you pick the hours and days including weekends), and runs at ~15 hours/week for an experienced contributor.
The role seeks engineers who can analyze, debug and resolve software bugs and vulnerabilities across diverse codebases, implement new features across major languages (Python3, Java, Rust, Go, C++, TypeScript), refactor legacy code for security and performance, perform codebase audits and penetration testing, and contribute to backend scalability. You'll document findings and provide real-world insights to improve AI training datasets. Compensation is output-based and paid per completed task.
What you'll do
- Analyze, debug and resolve software bugs and vulnerabilities across diverse codebases
- Implement new features and enhance existing functionality in Python3, Java, Rust, Go, C++, TypeScript
- Refactor legacy code to improve maintainability, security and performance
- Perform codebase audits, penetration testing and other security assessments
- Contribute to backend development and optimize application performance for scalability
- Document findings, suggest improvements, and provide real-world insights for AI datasets
Requirements & eligibility
- Expertise in one or more languages: Python3, Java, Rust, Go, C++, TypeScript
- Proven experience in debugging, bug fixing, and backend development for complex systems
- Strong background in cybersecurity: pentesting, security audit, vulnerability assessment
- Proficiency in algorithms, codebase refactoring, performance and security optimization
- Ability to communicate complex technical findings clearly and concisely
- Familiarity with secure software development lifecycles and modern threat landscapes
- Experience with AI-related or data-driven projects is a plus
How to apply
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