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
Identify vulnerabilities and security weaknesses across diverse software systems
Perform penetration testing, vulnerability assessment, and security-focused code review
Evaluate application behaviour for exploitable or unsafe implementation patterns
Recommend practical remediation approaches for identified risks
Apply professional cybersecurity judgement across varied technical scenarios
Software Debugging & Bug Resolution
Analyse and resolve complex software bugs and technical defects
Identify root causes across unfamiliar or evolving codebases
Fix issues while preserving expected system behaviour
Validate changes through appropriate testing and technical review
Document debugging approaches and technical findings clearly
Backend Engineering & Feature Development
Implement new features and enhance existing functionality
Work across Python 3, Java, Rust, Go, C++, TypeScript, or comparable languages
Contribute to backend services and production-quality software systems
Apply strong algorithms, data structures, and engineering principles
Design solutions with scalability, maintainability, and security in mind
Refactoring, Performance & Secure Development
Refactor legacy code to improve maintainability, reliability, and security
Identify software-performance bottlenecks and inefficient implementation patterns
Optimise applications for scalability and operational performance
Apply secure software-development lifecycle principles where relevant
Balance technical performance with code quality and long-term maintainability
Security Review & Technical Documentation
Conduct codebase audits and document significant security findings
Provide clear recommendations for technical and security improvements
Communicate complex risks and engineering trade-offs concisely
Contribute real-world technical insights to AI training and evaluation datasets
Support consistent quality standards across security and software-engineering tasks
Ideal Profile
Strong professional experience in cybersecurity, backend engineering, or secure software development
Expertise in one or more of Python 3, Java, Rust, Go, C++, or TypeScript
Proven experience debugging and resolving complex software issues
Strong background in penetration testing, security auditing, and vulnerability assessment
Experience reviewing code for security weaknesses and implementation risks
Strong understanding of algorithms, data structures, and core computer-science concepts
Experience refactoring mature or large-scale codebases
Strong performance-optimisation and backend-development skills
Familiarity with secure software-development lifecycles
Good understanding of modern threat landscapes and common security risks
Strong analytical and problem-solving ability
Excellent technical communication and documentation skills
Experience with AI-related or data-driven projects is advantageous but not required
No prior AI-training or model-evaluation experience is required
Engagement Details
Independent contractor engagement
Fully remote
Expected commitment: approximately 15 hours per week
Flexible schedule; contributors may choose their working hours and days, including weekends
Displayed compensation range: $30–$100/hour
Actual compensation structure is output-based, with payment made per task that meets project specifications
Task completion time may vary depending on individual experience and workflow
Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
Work will involve cybersecurity analysis, penetration testing, vulnerability assessment, debugging, feature implementation, codebase refactoring, and performance optimisation
Screening includes an approximately 30-minute AI interview, a tentative technical assessment, and hiring-manager review
Roles are typically filled within approximately 48 hours, with initial tasks expected within approximately 24–48 hours after onboarding
Project scope, workload, codebases, languages, and evaluation standards may evolve depending on project requirements
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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