Penetration Testing Engineer - AI Trainer
DataAnnotation
full-remotemidcontractsecurity Connecticut, United States 2 days ago via LinkedIn
60,000 - 120,000 USD/annual
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Penetration TestingRed TeamingCybersecurityDFIRMalware AnalysisThreat IntelligenceOffensive SecurityCode ReviewVulnerability AssessmentOSCP
About the role
Role overview
Penetration Testing Engineer (AI Trainer) to help advance AI development by applying real-world cybersecurity expertise. You’ll evaluate and test AI-generated security outputs and contribute feedback that improves how AI systems 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 shapes next-generation AI security models
Requirements
- 2+ years hands-on experience in a cybersecurity role (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; comfort navigating and patching a codebase
- English fluency (native or bilingual) with strong writing skills
- Bachelor’s degree preferred
Nice to have
- Cybersecurity certifications (e.g., OSCP, CRTO, GREM, GCFA, CEH, or similar)
Contracting & work style
- Independent contractor position
- Remote work with the ability to choose which projects and when you work
- Paid hourly starting at $50–$100+/hr, with possible bonus rates
- Payment via PayPal
Location eligibility
- Only available to candidates in the US (and also listed: Canada, UK, Ireland, Australia, New Zealand).
About DataAnnotation
DataAnnotation provides a platform for training and evaluating AI systems through human-led tasks. The company focuses on applying real-world expertise to improve AI performance, including evaluating AI-generated security content and building security-focused technical exercises.
Scraped 7/26/2026