Remote Freelance: CVE & App Security AI Auditor

Jobgether; Ireland; On-site; EUR 125,000 - 179,000; Full time

Benefits offered by this job

Remote work

Freelance contract

Flexible schedule

Job summary

Jobgether, on behalf of a partner company, seeks a CVE & Application Security AI Task Auditor - Freelance AI Trainer Project based in Ireland.

You will audit security-focused tasks used to train and evaluate AI models, ensuring they are technically accurate, realistic, reproducible, and practical.

The role offers a remote freelance arrangement with flexible project-based work and the chance to shape AI evaluation workflows in a high‑security domain.

Qualifications

• Demonstrable professional experience in Application Security and threat modeling.
• Strong understanding of CVE, vulnerabilities, exploitation concepts, and mitigations.
• Ability to rigorously test, troubleshoot, and evaluate complex security scenarios.
• Excellent written communication for actionable technical feedback.

Responsibilities

• Evaluate CVE and application security tasks for accuracy, realism, solvability, and testability.
• Review security scenarios for technical accuracy and practical relevance.
• Assess vulnerability descriptions, exploitation scenarios, outcomes, and mitigations.
• Identify security issues that could affect task quality or evaluation accuracy.
• Document findings clearly across assigned project tasks.

Skills

Application Security

Vulnerability assessment

Threat modeling

Secure coding practices

CVE knowledge

Exploitation concepts

Analytical thinking

Technical feedback

Job description

Jobgether, on behalf of a partner company, seeks a CVE & Application Security AI Task Auditor - Freelance AI Trainer Project based in Ireland.

You will audit security-focused tasks used to train and evaluate AI models, ensuring they are technically accurate, realistic, reproducible, and practical.

The role offers a remote freelance arrangement with flexible project-based work and the chance to shape AI evaluation workflows in a high‑security domain.