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Exploit Developer - AI Trainer

DataAnnotation

full-remotemidcontractbackendsecurity Arizona, United States 6 days ago via LinkedIn
100,000 - 240,000 USD/annual

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Tags

CybersecurityPenetration TestingRed TeamingVulnerability AssessmentMalware AnalysisThreat IntelligenceOffensive SecurityCodebase PatchingDFIRAI Training

About the role

Role Overview

Exploit Developer - AI Trainer at DataAnnotation. You’ll help advance AI systems by validating and improving how they reason about real-world cybersecurity threats and defenses. Work is flexible, remote, and performed on your own computer with a schedule you control.

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 the next generation of AI security models.

Qualifications

  • 2+ years of hands-on cybersecurity experience (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 comfortably navigate and patch a codebase.
  • English fluency (native or bilingual) with strong writing skills.
  • Bachelor’s degree preferred.

Nice-to-haves

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

Contracting Details

  • Independent contractor position.
  • Hourly pay for projects: $50–$100+ per hour, with bonus rates on some projects.
  • Choose projects and working times; work remotely.
  • Payment via PayPal.

Eligibility / Location

  • Available only to people in the US, Canada, UK, Ireland, Australia, and New Zealand.

About DataAnnotation

DataAnnotation is a platform that connects independent contributors with paid AI training and evaluation tasks. The company focuses on leveraging state-of-the-art AI models to improve system quality through human feedback, including areas like security and technical content evaluation.

Scraped 6/15/2026

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