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AI / Emerging Tech Security Analyst

  • Toronto, Ontario, Canada
  • Remote
  • Posted Sep 12, 2026
  • 1 position

US$40–US$60 / hour

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Employment type
Contract
Experience level
Mid-level · 2+ years
Apply by
Oct 11, 2026
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Toronto, Ontario, Canada
Seniority
Entry level

Job summary

Analyze AI and LLM security scenarios to identify vulnerabilities such as prompt injection and data leakage. Classify security issues and recommend mitigations to ensure frontier AI models remain safe and resistant to misuse.

Job details

About The Role What if your security expertise could directly shape how the world's most powerful AI systems defend themselves against attack? We're looking for AI Security Analysts to work alongside leading AI research teams — probing frontier models for vulnerabilities, analyzing adversarial behavior, and helping ensure that cutting-edge AI remains safe, reliable, and resistant to misuse. This is a fully remote, flexible contract role built for security professionals who are genuinely curious about how modern AI systems are built, deployed, and exploited. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Analyze AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions Review and evaluate cases involving prompt injection, data leakage, model abuse, and system misuse Classify security issues and recommend appropriate mitigations based on real-world impact and likelihood Assess AI system behavior against security best practices and help identify gaps Work across realistic, hands-on scenarios that reflect the actual threat landscape facing modern AI deployments Complete task-based assignments independently on your own schedule Who You Are Solid background in cybersecurity — offensive, defensive, or research-focused Genuine curiosity about how AI systems are built, trained, and deployed in real-world environments Strong understanding of modern threat modeling and how it applies to emerging AI technologies Analytical and precise — you think in edge cases and enjoy pulling apart complex systems Comfortable working independently and communicating findings clearly in writing No formal AI research background required — security instincts and curiosity are what matter Nice to Have Experience with LLM security, red-teaming AI systems, or adversarial ML research Familiarity with prompt injection techniques, jailbreaking, or model abuse vectors Background in application security, penetration testing, or vulnerability research Prior exposure to AI safety or alignment concepts Experience writing security assessments, threat models, or technical risk reports Why Join Us Work directly on frontier AI systems alongside world-class research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, impactful work Contribute to AI security at a critical moment in the development of the technology Potential for ongoing work and contract extension as new projects launch

What you’ll do

Analyze AI and LLM security scenarios to identify vulnerabilities such as prompt injection and data leakage. Classify security issues and recommend mitigations to ensure frontier AI models remain safe and resistant to misuse.

Requirements

Requires a solid background in cybersecurity with a strong understanding of threat modeling and a curiosity about AI systems. No formal AI research background is required, but experience in red-teaming or adversarial ML is a plus.

Listed skills

  • Analytical · Preferred
  • Technical · Preferred
  • Organization · Preferred
  • Attention to detail · Preferred
  • Teams · Preferred
  • safety · Preferred
  • Development · Preferred
  • Reliable · Preferred
  • Flexible · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Cybersecurity
  • Threat Modeling
  • AI Security
  • LLM Security
  • Red-teaming
  • Adversarial Machine Learning
  • Prompt Injection
  • Vulnerability Research
  • Application Security
  • Penetration Testing
  • AI Safety
  • Technical Risk Reporting

Job areas

  • Security & Safety
  • Technology
  • Software
  • Science & Research
  • Data & Analytics

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