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AI Security Specialist | Remote

Remote / Online - Candidates ideally in
Los Angeles, Los Angeles County, California, 90001, USA
Listing for: Crossing Hurdles
Full Time, Remote/Work from Home position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Evaluation, Cybersecurity, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90 USD Hourly USD 90.00 HOUR
Job Description & How to Apply Below
Position: AI Security Specialist | $90/hr Remote

Position: AI Security Specialist | $90/hr Remote

Type: Contract

Compensation: $50 - $90/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities
  • Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  • Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  • Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  • Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  • Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  • Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.
Requirements
  • Have strong relevant experience in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain.
  • Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  • Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  • High credibility and recognition within the AI security or adversarial ML community such as published research, open-source tools, or conference presentations.
  • Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  • Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.
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