Remote Cyber Security Engineer for AI Backend Systems

aitrainer; United States; Remote; USD 41,000 - 138,000; Part time

Benefits offered by this job

Flexible schedule

Remote work

Job summary

micro1 is selected to contribute cyber security engineering expertise on a remote, contractor basis. Workload is ~15 hours per week with flexible scheduling, enabling participation on diverse client projects.

You'll apply security, debugging, and backend skills across languages including Python, Java, Rust, and TypeScript to train and evaluate AI models, with no prior AI experience required beyond domain knowledge.

Qualifications

• Analyze, debug, and resolve software bugs and vulnerabilities across diverse codebases.
• Implement new features and enhance existing functionality in projects using Python3, Java, Rust, Go, C++, or TypeScript.
• Refactor legacy code to improve maintainability, security, and performance.
• Perform codebase audits, penetration testing, and other security assessments to identify and mitigate risks.
• Contribute to backend development and optimize application performance for scalability and security.
• Document findings, suggest improvements, and provide real-world insights to improve AI training datasets.

Responsibilities

• Analyze, debug, and resolve software bugs across diverse codebases.
• Implement features and enhance functionality in multiple languages.
• Refactor legacy code for maintainability, security, and performance.
• Conduct security assessments including pentesting and audits.
• Improve backend performance for scalability and security.
• Document findings to improve AI training datasets.

Skills

Python3

Java

Rust

Algorithms

Basics C++

Typescript

bug fixing

feature implementation

codebase refactoring

performance optimization

pentesting

Security audit

cybersecurity

Job description

micro1 is selected to contribute cyber security engineering expertise on a remote, contractor basis. Workload is ~15 hours per week with flexible scheduling, enabling participation on diverse client projects.

You'll apply security, debugging, and backend skills across languages including Python, Java, Rust, and TypeScript to train and evaluate AI models, with no prior AI experience required beyond domain knowledge.