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Cybersecurity AI Data Trainer (Worldwide – Remote)

  • Worldwide - Remote
  • $100-$175/hr
  • Contract

About Cognito AI

Cognito AI connects subject-matter experts with cutting-edge AI development by offering flexible opportunities to shape and refine intelligent systems. Through roles in data labeling, quality assurance, and specialized task evaluation, contributors help ensure AI models are accurate, reliable, and aligned with real world knowledge. Cognito AI empowers professionals to apply their expertise on impactful projects while earning competitive compensation from anywhere in the world.

About The Role

We’re seeking Cybersecurity AI Data Trainers to help build and refine intelligent systems that enhance digital security infrastructure. In this role, you will develop and train AI models that detect, prevent, and respond to cyber threats. Your work will involve curating threat intelligence datasets, annotating security-related content, and evaluating model behavior across scenarios such as malware detection, vulnerability analysis, and phishing response.

Responsibilities

  • Design and train AI models focused on cybersecurity use cases such as threat detection, anomaly detection, and intrusion prevention.
  • Annotate and evaluate datasets related to malware signatures, phishing patterns, and attack vectors.
  • Collaborate with research and engineering teams to fine-tune model performance in identifying vulnerabilities.
  • Ensure AI outputs align with best practices in cybersecurity, ethical use, and regulatory compliance.
  • Analyze false positives/negatives and refine training loops for model accuracy and resilience.
  • Stay updated on the latest cybersecurity trends, tools, frameworks, and threat intelligence.

Qualifications

  • Degree in Cybersecurity, Computer Science, Information Security, or a related field.
  • Certificate in Advanced AI Data Trainer Mastery from AIDRALabs (Recommended).
  • 5+ years of experience in cybersecurity engineering, threat intelligence, or network security analysis.
  • Proficiency in Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of cybersecurity principles, CVEs, MITRE ATT&CK framework, and SOC workflows.
  • Experience working with security datasets, SIEM tools, or network logs.
  • English proficiency at B2, C1, C2, or Native level.
  • Familiarity with LLMs, prompt engineering, or adversarial AI defense techniques.
  • Certifications such as CEH, CISSP, CompTIA Security+, or GIAC.”,
    Experience with building security-focused AI systems or conducting red team/blue team AI testing.

Education & Qualifications

Add your Advanced AI Data Trainer Mastery from AIDRALabs. Certificates that cannot be verified will not be accepted.

Availability & Technical Specs

Windows Instructions: Search for and navigate to "About Your PC". Take a full, unedited screenshot showing Device Name, Processor, RAM, etc.

Mac Instructions: Navigate to "About This Mac". Take a full, unedited screenshot showing model, processor, memory, serial number, and macOS version.

NOTE: Edited or cropped screenshots will not be accepted.
Navigate to speedtest.net.
Click "GO" and wait for the test to complete.
Take a full, unedited screenshot of the results.

NOTE: Edited or cropped screenshots will not be accepted.
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