Cybersecurity Code Review Engineer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this opportunity. OpenTrain helps people build careers in AI training and data labeling by connecting their skills with projects, supporting professional profiles, and making it easier to apply and grow in this rapidly developing field.

• Remote contract work managed through OpenTrain
• Flexible part-time opportunity for an individual contractor
• Work that combines cybersecurity, programming, and AI training

About AI Training and Code Review

AI training is the human side of building artificial intelligence. Technical contributors help prepare and evaluate examples, review software-related outputs, and provide practical feedback that improves how AI systems perform. Code review specialists bring real-world engineering judgment to this process.

• Contribute expertise that strengthens AI training datasets
• Apply software security and engineering judgment to varied technical work
• Work remotely with flexible project-based assignments

The Role

OpenTrain is recruiting a Cybersecurity Code Review Engineer to apply hands-on security and software engineering expertise to AI training work. You will analyze bugs and vulnerabilities, improve code across diverse codebases, audit security, support backend performance, and document practical findings.

The role is structured as flexible contractor work. The listing indicates an expected commitment of 20 or more hours per week, while the role description references an approximate commitment of 15 hours per week. English is the listed working language, and eligibility spans the countries specified in the application.

• Employment type: Independent contractor and part-time
• Working language: English
• Experience level listed: Entry level
• Compensation range listed: $30 to $100 USD, with final task terms varying by project

What You'll Do

• Debug and resolve software bugs and security vulnerabilities across diverse codebases
• Implement and enhance features using Python3, Java, Rust, Go, C++, or TypeScript
• Refactor legacy code to improve maintainability, security, and performance
• Conduct codebase audits, penetration testing, and vulnerability assessments
• Contribute to backend development and optimize applications for scalability and security
• Document findings and recommend improvements that provide useful real-world input for AI training

Required Skills

You should have a strong cybersecurity background and the ability to communicate complex technical findings clearly and concisely. Professional experience writing, debugging, and optimizing complex code is required in one or more of the listed programming languages.

• Cybersecurity expertise in penetration testing, security audits, and vulnerability assessment
• Ability to debug complex code and resolve software vulnerabilities
• Proficiency in Python3, Java, Rust, Go, C++, or TypeScript
• Experience with backend development, bug fixing, algorithms, and codebase refactoring
• Experience with performance optimization
• Familiarity with secure software development lifecycles and current threat landscapes
• Clear written and verbal communication of technical findings

Who Should Apply

This opportunity may suit a cybersecurity professional, software engineer, or technically focused contractor who can combine secure development practices with practical code review. AI or data-driven project experience can be useful, but prior AI experience is not required.

The role is a fit for someone who enjoys investigating complex issues, improving existing systems, and turning technical analysis into precise, actionable documentation.

• Cybersecurity specialists with penetration testing or vulnerability assessment experience
• Software engineers comfortable working across varied codebases
• Backend developers with strong debugging and refactoring skills
• Professionals seeking flexible, remote AI training work

How Compensation and Applications Work

Compensation is output-based and tied to tasks that meet project specifications. Source listing metadata gives an hourly range of $30 to $100 USD, although final task terms may vary by project.

Create a free OpenTrain account to build your profile and apply through OpenTrain. Your profile can help you present relevant cybersecurity and software engineering experience as you pursue AI training work.

• Review project details and task specifications before starting
• Complete work that meets the applicable project requirements
• Document findings clearly for technical and AI training use
• Apply through OpenTrain