AI Security Dataset Annotator

Odixcity Consulting; La Réunion; On-site; EUR 45,000 - 65,000; Full time

Job summary

Odixcity Consulting is seeking a Security Engineer Annotator to evaluate cybersecurity datasets used in AI model training. The role involves analyzing security-related datasets, code samples, and architectural designs to identify vulnerabilities and label security scenarios.

The ideal candidate will review authentication, encryption, and access control implementations, evaluate secure coding practices, and provide feedback that aligns with security standards and best practices.

Qualifications

• Minimum 3 years’ experience in Cybersecurity or Security Engineering.
• Strong understanding of secure software development.
• Knowledge of network security, cryptography, and vulnerability management.
• Experience with penetration testing tools.
• Experience in identifying and mitigating common vulnerabilities of OWASP security principles like Injection attacks, Authentication and authorization flaws, Cross-site Scripting (XSS).
• Understanding of security frameworks and compliance standards such as ISO 27001, NIST , SOC 2, Zero Trust Architecture concepts.
• Preferred certifications: CISSP, CEH, CCSP

Responsibilities

• Annotate cybersecurity datasets and threat scenarios.
• Evaluate secure coding practices and vulnerability assessments.
• Label datasets involving penetration testing and risk analysis.
• Review authentication, encryption, and access control implementations.
• Assess AI responses related to security threats and mitigation.
• Provide structured feedback aligned with security standards.

Skills

Cybersecurity basics

Threat modeling

Vulnerability assessment

Tools

Penetration testing tools

Job description

Odixcity Consulting is seeking a Security Engineer Annotator to evaluate cybersecurity datasets used in AI model training. The role involves analyzing security-related datasets, code samples, and architectural designs to identify vulnerabilities and label security scenarios.

The ideal candidate will review authentication, encryption, and access control implementations, evaluate secure coding practices, and provide feedback that aligns with security standards and best practices.