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Security Engineer

DataAnnotation

full-remoteseniorcontractsecurity New York, United States 109 days ago via LinkedIn
60,000 - 120,000 USD/annual

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Tags

CybersecurityPenetration TestingRed TeamingIncident ResponseMalware AnalysisThreat IntelligenceDFIROffensive SecuritySecurity CodeAI Evaluation

About the role

Role: Security Engineer

Contribute to building cutting-edge AI systems with a focus on cybersecurity. You’ll evaluate AI-generated security content, solve security-oriented technical problems, and provide feedback that helps shape how AI models reason about real-world threats and defenses.

Responsibilities

  • Evaluate AI-generated cybersecurity content for real-world accuracy and validity (e.g., threat analysis, vulnerability assessments, offensive security techniques)
  • Design and solve security-focused technical problems used to train AI systems
  • Write clear technical explanations and security-relevant code
  • Provide feedback that directly influences the next generation of AI security models

Requirements

  • 2+ years hands-on experience in cybersecurity (e.g., penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields; including government/military cyber operations)
  • Some coding experience; ability to navigate and patch a codebase
  • Fluency in English with strong writing skills
  • Bachelor’s degree preferred

Nice-to-haves

  • Cybersecurity certifications (e.g., OSCP, CRTO, GREM, GCFA, CEH, or similar)

Work model & logistics

  • Fully remote with a flexible schedule (choose which projects to take and when)
  • Paid hourly: $50–$100+/hr plus bonuses for high-quality/high-volume work
  • Payment via PayPal
  • Availability: US, Canada, UK, Ireland, Australia, New Zealand

Hiring process

  • Create an account and complete a short assessment; if you pass, paid work becomes available through the platform.

About DataAnnotation

DataAnnotation is a platform/company focused on developing and supporting advanced AI systems by leveraging human expertise to evaluate and improve AI outputs. It operates in the AI and cybersecurity domain, using flexible, project-based work to train and shape how AI models reason about real-world threats.

Scraped 4/16/2026