Cybersecurity LLM Trainer Remote

New

Skills

Bash Cybersecurity Docker Penetration Testing Powershell Python Secure Coding Practices

Join a cutting-edge AI platform as a Cybersecurity LLM Trainer, working remotely to help shape the future of AI in cybersecurity. Collaborate with global experts, generate challenging prompts, and refine model responses to advance the capabilities of Generative AI in complex reasoning and specialized cybersecurity topics. This freelance opportunity offers flexible part-time work, competitive rates, and the chance to contribute to innovative AI projects alongside your primary commitments.

Job Overview
  • Remote freelance role for cybersecurity professionals with advanced AI and coding expertise.
  • Work on AI training and evaluation projects with global tech innovators.
  • Flexible hours with compensation based on your location and skills.
Key Responsibilities
  • Generate domain-specific prompts to challenge AI models.
  • Define scoring criteria to assess AI answer accuracy.
  • Review and correct model responses using cybersecurity expertise.
  • Contribute to red-teaming and security evaluation of LLMs and AI agents.
  • Collaborate with AI specialists to improve model reasoning in cybersecurity.
Required Skills & Qualifications
  • Bachelor's or Master’s degree in Computer Science, Cybersecurity, or related field.
  • Advanced English proficiency (C1 or above).
  • Proficient in Python, Bash, or PowerShell scripting.
  • Experience with Docker, containerization, and CI/CD security tools.
  • Hands-on penetration testing across web, API, network, and infrastructure.
  • Familiar with AI model vulnerabilities, prompt injections, and OWASP Top 10 for LLMs.
  • Knowledge of red-teaming frameworks (e.g., garak, PyRIT).
  • Proficient in offensive exploitation and exploit development.
  • Skilled in reverse engineering (Ghidra or equivalents).
  • Understanding of secure coding and operating system security concepts.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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