AI Summary
We're looking for AI Security Analysts to probe, stress-test, and evaluate frontier AI models. Analyze AI and LLM security scenarios, investigate and classify cases, and recommend mitigations to improve AI system resilience. Strong understanding of modern threat modeling and AI security required.
Key Highlights
Analyze AI and LLM security scenarios
Investigate and classify cases
Recommend mitigations to improve AI system resilience
Key Responsibilities
Analyze AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions
Investigate and classify cases involving prompt injection, data leakage, model abuse, and system misuse
Apply threat modeling frameworks to evaluate real-world impact and likelihood of identified risks
Technical Skills Required
Benefits & Perks
Fully remote
Flexible contract role
Potential for ongoing work and contract extension
Nice to Have
Hands-on experience with penetration testing, red teaming, or vulnerability research
Familiarity with large language models (LLMs) or generative AI systems
Background in applied AI, ML security, or adversarial machine learning
Job Description
About The Role
What if your security expertise could directly shape the safety of the AI systems that millions of people rely on every day? We're looking for AI Security Analysts to probe, stress-test, and evaluate frontier AI models — identifying how they can be attacked, manipulated, or misused before those vulnerabilities become real-world problems.
This is a fully remote, flexible contract role built for security professionals who are curious about how modern AI systems work — and how they break.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions
- Investigate and classify cases involving prompt injection, data leakage, model abuse, and system misuse
- Apply threat modeling frameworks to evaluate real-world impact and likelihood of identified risks
- Recommend and assess appropriate mitigations to improve AI system resilience
- Help evaluate and improve AI behavior so it remains safe, reliable, and aligned with security best practices
- Work independently on task-based assignments at your own pace
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- Background in cybersecurity, information security, or a closely related field
- Strong understanding of modern threat modeling and how it applies to AI and emerging technologies
- Familiar with adversarial attack surfaces — prompt injection, data poisoning, model extraction, and more
- Analytically sharp — you approach complex systems methodically and document findings clearly
- Naturally curious about how AI models are built, deployed, and exploited
- Self-motivated and reliable when working independently without supervision
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Hands-on experience with penetration testing, red teaming, or vulnerability research
- Familiarity with large language models (LLMs) or generative AI systems
- Background in applied AI, ML security, or adversarial machine learning
- Experience with OWASP, MITRE ATT&CK, or similar security frameworks
- Prior work in AI safety, trust and safety, or policy-adjacent security roles
- Work directly on frontier AI systems alongside leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute to a mission that matters: keeping the world's most capable AI systems safe and trustworthy
- Potential for ongoing work and contract extension as new projects launch
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