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AI / Emerging Tech Security Analyst

  • Vancouver, British Columbia, Canada
  • Remote
  • Posted Oct 8, 2026
  • 1 position

US$40–US$60 / hour

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Employment type
Contract
Experience level
Entry, Junior · 0+ years
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Vancouver, British Columbia, Canada
Seniority
Entry level

Job summary

Analyze AI and large language model security scenarios, including adversarial attacks, prompt injection, data leakage, and misuse, and assess their likelihood and real-world impact. Recommend mitigations and help evaluate and improve AI system safety, reliability, and alignment with security best practices.

Job details

AI / Emerging Tech Security Analyst (AI Training) About The Role What if your security expertise could directly shape how the world's most advanced AI systems defend against attacks, misuse, and manipulation? We're looking for AI Security Analysts to stress-test frontier AI models — identifying vulnerabilities, evaluating adversarial scenarios, and helping ensure that cutting-edge AI stays safe, reliable, and aligned with real-world security standards. This is a fully remote, flexible contract role built for security professionals who are curious about how modern AI systems behave when pushed to their limits. If you understand how things break — and why that matters — this role was made for you. 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, edge-case, or unexpected conditions Review and evaluate prompt injection attacks, data leakage risks, model abuse patterns, and system misuse cases Classify security issues by real-world impact and likelihood, and recommend appropriate mitigations Help evaluate and improve AI system behavior so it remains safe, reliable, and aligned with security best practices Work across realistic scenarios drawn from the cutting edge of AI deployment and research Complete task-based assignments independently on your own schedule Who You Are Background in cybersecurity, application security, or a related field — with a strong interest in how AI systems are built and deployed Familiar with modern security threat modeling and how those concepts apply to emerging AI technologies Naturally analytical and precise — you think carefully about complex systems and potential failure modes Curious about AI: how large language models work, where they can go wrong, and what it takes to keep them safe Comfortable working independently and communicating findings clearly in writing Nice to Have Hands-on experience with penetration testing, red teaming, or adversarial security research Familiarity with AI/ML systems, LLMs, or prompt engineering Background in application security, cloud security, or software engineering Experience with threat modeling frameworks or security risk classification Prior involvement in AI safety, alignment research, or responsible AI initiatives Why Join Us Work directly on frontier AI systems alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based work Make a tangible impact on the safety and security of AI systems that affect millions of people Potential for ongoing work and contract extension as new projects launch

What you’ll do

Analyze AI and large language model security scenarios, including adversarial attacks, prompt injection, data leakage, and misuse, and assess their likelihood and real-world impact. Recommend mitigations and help evaluate and improve AI system safety, reliability, and alignment with security best practices.

Requirements

Candidates should have a background in cybersecurity, application security, or a related field, along with an interest in how AI systems are built and deployed. They should understand threat modeling, analyze complex systems carefully, and communicate findings clearly in writing; experience with penetration testing, red teaming, AI/ML, or cloud security is an advantage.

Benefits

  • Flexible Schedule
  • Remote Work
  • Freelance Autonomy
  • Potential for Ongoing Work and Contract Extension

Listed skills

  • written communication · Preferred
  • prompt engineering · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Cybersecurity
  • AI Security
  • Application Security
  • Threat Modeling
  • Adversarial Security Analysis
  • Prompt Injection Analysis
  • Data Leakage Risk Assessment
  • Security Risk Classification
  • Penetration Testing
  • Red Teaming
  • AI and Machine Learning Systems
  • Large Language Models
  • Prompt Engineering
  • Cloud Security
  • Security Research
  • Written Communication

Job areas

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

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