AI Summary
Analyze and evaluate AI and LLM security scenarios to identify vulnerabilities, misuse vectors, and adversarial conditions. Classify security issues by impact and likelihood, recommend mitigations, and apply threat modeling frameworks to emerging AI technologies. Work independently on task-based assignments with flexible hours.
Key Highlights
Probe, evaluate, and stress-test cutting-edge AI models for security vulnerabilities
Identify adversarial scenarios including prompt injection, data leakage, and jailbreaking
Classify security issues by real-world impact and likelihood, recommend mitigations
Apply threat modeling frameworks to emerging AI technologies and novel attack surfaces
Key Responsibilities
Analyze AI and LLM security scenarios to understand model behavior under adversarial, edge-case, or unexpected conditions
Review and evaluate cases involving prompt injection, data leakage, model abuse, jailbreaking, and system misuse
Classify security issues by real-world impact and likelihood, and recommend appropriate mitigations
Apply threat modeling frameworks to emerging AI technologies and novel attack surfaces
Help evaluate and improve AI system behavior to remain safe, reliable, and aligned with security best practices
Work independently on task-based assignments — fully on your own schedule
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible schedule (10–40 hours/week)
Freelance autonomy with meaningful, impactful work
Nice to Have
Hands-on experience with penetration testing, red teaming, or adversarial research
Familiarity with large language models (LLMs), prompt engineering, or AI safety concepts
Background in application security, API security, or ML infrastructure
Experience evaluating or auditing AI/ML systems in production environments
Prior work in emerging technology risk, AI governance, or responsible AI frameworks
Job Description
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 themselves against attack? We're looking for AI / Emerging Tech Security Analysts to probe, evaluate, and stress-test cutting-edge AI models — identifying the vulnerabilities, misuse vectors, and adversarial scenarios that could compromise real-world AI deployments.
This is a fully remote, flexible contract role built for security professionals who are curious about how modern AI systems fail — and how to make them stronger.
- 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, edge-case, or unexpected conditions
- Review and evaluate cases involving prompt injection, data leakage, model abuse, jailbreaking, and system misuse
- Classify security issues by real-world impact and likelihood, and recommend appropriate mitigations
- Apply threat modeling frameworks to emerging AI technologies and novel attack surfaces
- Help evaluate and improve AI system behavior so it remains safe, reliable, and aligned with security best practices
- Work independently on task-based assignments — fully on your own schedule
Interested in remote work opportunities in Cyber Security? Discover Cyber Security Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Background in cybersecurity, information security, or a closely related field
- Solid understanding of threat modeling, vulnerability assessment, and risk classification
- Genuinely curious about how AI systems are built, deployed, and potentially exploited
- Analytical and precise — you think in edge cases and know how to document findings clearly
- Comfortable working independently on complex, open-ended security problems
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 adversarial research
- Familiarity with large language models (LLMs), prompt engineering, or AI safety concepts
- Background in application security, API security, or ML infrastructure
- Experience evaluating or auditing AI/ML systems in production environments
- Prior work in emerging technology risk, AI governance, or responsible AI frameworks
- 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, impactful work
- Contribute to AI safety research that has real consequences for how AI is deployed in the world
- Potential for ongoing work and contract extension as new projects launch
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