Cybersecurity Software Engineer for AI Research Project

the uva vec United Kingdom
Remote
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AI Summary

Contribute to an advanced AI research initiative focused on improving software security challenges. Apply expertise in application security and vulnerability research to build high-quality training datasets. Work remotely with a flexible schedule.

Key Highlights
Design benchmark security tasks
Build or validate small runnable code environments
Produce structured metadata
Key Responsibilities
Design benchmark security tasks
Build or validate small runnable code environments
Produce structured metadata
Document remediation approaches
Conduct quality checks
Technical Skills Required
Python JavaScript TypeScript Git Vulnerability analysis Secure software development
Benefits & Perks
$60-$70 per hour
Remote work
Flexible scheduling

Job Description


Cybersecurity Software Engineer – AI Research Project

Contract Type: Hourly Contract

Location: Remote

Compensation: $60–$70 per hour

Role Overview

We are seeking experienced Software Engineers with a specialization in Cybersecurity to contribute to an advanced AI research initiative focused on improving how intelligent systems analyze and solve real-world software security challenges.


In this role, you will apply your expertise in application security and vulnerability research to help build high‑quality training datasets used to evaluate and strengthen AI model reasoning on complex software engineering tasks.


This is an exciting opportunity to contribute directly to the development of next‑generation AI systems while working remotely with a flexible schedule.

About the Project

You will work on analyzing and annotating AI model solution paths for realistic software engineering tasks derived from open‑source repositories.


Since many AI systems do not expose their internal reasoning processes, the project focuses on reconstructing and documenting the logic behind solution steps. Using your engineering judgment and full task context, you will infer and document the reasoning that leads to vulnerability identification and remediation.

Key Responsibilities
  • Design benchmark security tasks based on specific vulnerability classes and difficulty levels
  • Build or validate small runnable code environments that demonstrate security flaws
  • Verify exploit behavior using scripts and clearly document unsafe system behavior
  • Validate security patches that resolve identified vulnerabilities
  • Produce structured metadata including severity classification, file locations, and impact analysis
  • Document remediation approaches and supporting references
  • Conduct quality checks to ensure reproducibility, accuracy of code references, and effectiveness of fixes
Ideal Qualifications
  • 2+ years of software engineering experience with a focus on application security or vulnerability research
  • Bachelor’s degree or higher in Computer Science, Software Engineering, Cybersecurity, or a related field
  • Strong programming proficiency in languages such as Python, JavaScript, or TypeScript
  • Experience working with open‑source codebases and Git workflows
  • Familiarity with vulnerability analysis and secure software development practices
  • Ability to clearly explain technical reasoning in structured written form
Project Details
  • Start Date: Immediate
  • Duration: 1–2 months
  • Commitment: 15–25 hours per week (up to 40 hours optional)
  • Work Arrangement: Fully remote with flexible scheduling
Application Process
  • Submit your resume
  • Participate in a short AI‑based interview (~15 minutes)
  • Selected applicants will receive follow‑up communication with onboarding instructions
Contract & Payment Terms
  • Independent contractor engagement
  • Remote work with flexible hours
  • Project length may vary based on project needs and performance
  • No access to confidential or proprietary third‑party information required
  • Weekly payments via Stripe or Wise
  • Visa sponsorship is not available for this role



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