We are sharing a specialised consulting opportunity for experienced Cyber Security Engineers with strong expertise in secure software development, penetration testing, vulnerability assessment, security auditing, backend engineering, debugging, and performance optimisation to contribute to an advanced AI training and software-evaluation project.
Selected professionals will analyse and improve complex codebases, identify and remediate software vulnerabilities, perform security assessments, and contribute technical insights supporting high-quality AI training data. No prior experience in AI is required.
Key Responsibilities
Cybersecurity & Vulnerability Assessment
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Identify vulnerabilities and security weaknesses across diverse software systems
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Perform penetration testing, vulnerability assessment, and security-focused code review
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Evaluate application behaviour for exploitable or unsafe implementation patterns
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Recommend practical remediation approaches for identified risks
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Apply professional cybersecurity judgement across varied technical scenarios
Software Debugging & Bug Resolution
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Analyse and resolve complex software bugs and technical defects
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Identify root causes across unfamiliar or evolving codebases
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Fix issues while preserving expected system behaviour
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Validate changes through appropriate testing and technical review
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Document debugging approaches and technical findings clearly
Backend Engineering & Feature Development
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Implement new features and enhance existing functionality
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Work across Python 3, Java, Rust, Go, C++, TypeScript, or comparable languages
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Contribute to backend services and production-quality software systems
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Apply strong algorithms, data structures, and engineering principles
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Design solutions with scalability, maintainability, and security in mind
Refactoring, Performance & Secure Development
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Refactor legacy code to improve maintainability, reliability, and security
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Identify software-performance bottlenecks and inefficient implementation patterns
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Optimise applications for scalability and operational performance
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Apply secure software-development lifecycle principles where relevant
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Balance technical performance with code quality and long-term maintainability
Security Review & Technical Documentation
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Conduct codebase audits and document significant security findings
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Provide clear recommendations for technical and security improvements
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Communicate complex risks and engineering trade-offs concisely
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Contribute real-world technical insights to AI training and evaluation datasets
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Support consistent quality standards across security and software-engineering tasks
Ideal Profile
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Strong professional experience in cybersecurity, backend engineering, or secure software development
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Expertise in one or more of Python 3, Java, Rust, Go, C++, or TypeScript
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Proven experience debugging and resolving complex software issues
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Strong background in penetration testing, security auditing, and vulnerability assessment
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Experience reviewing code for security weaknesses and implementation risks
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Strong understanding of algorithms, data structures, and core computer-science concepts
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Experience refactoring mature or large-scale codebases
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Strong performance-optimisation and backend-development skills
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Familiarity with secure software-development lifecycles
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Good understanding of modern threat landscapes and common security risks
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Strong analytical and problem-solving ability
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Excellent technical communication and documentation skills
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Experience with AI-related or data-driven projects is advantageous but not required
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No prior AI-training or model-evaluation experience is required
Engagement Details
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Independent contractor engagement
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Fully remote
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Expected commitment: approximately 15 hours per week
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Flexible schedule; contributors may choose their working hours and days, including weekends
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Displayed compensation range: $30–$100/hour
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Actual compensation structure is output-based, with payment made per task that meets project specifications
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Task completion time may vary depending on individual experience and workflow
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Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
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Work will involve cybersecurity analysis, penetration testing, vulnerability assessment, debugging, feature implementation, codebase refactoring, and performance optimisation
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Screening includes an approximately 30-minute AI interview, a tentative technical assessment, and hiring-manager review
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Roles are typically filled within approximately 48 hours, with initial tasks expected within approximately 24–48 hours after onboarding
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Project scope, workload, codebases, languages, and evaluation standards may evolve depending on project requirements
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Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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