AI / Emerging Tech Security Analyst

Associated Builders and Contractors (ABC); Miami, Northern (FL, KY); Hybrid; USD 83,000 - 165,000; Part time

Job summary

Alignerr seeks an AI Security Analyst to stress-test frontier AI models, probing weaknesses and evaluating adversarial scenarios for safe, reliable systems. This is a fully remote, hourly contract role built for security professionals curious about exploiting AI boundaries.

You’ll analyze real-world scenarios, review prompt injection, data leakage, and model misuse, and apply threat modeling to emerging AI tech. 10–40 hours weekly, freelance autonomy with meaningful work.

Qualifications

• Background in cybersecurity or information security or a closely related technical field.
• Strong threat modeling knowledge and curiosity about AI applications.
• Analytical and precise when evaluating complex systems and edge cases.

Responsibilities

• Analyze real-world AI and LLM security scenarios to understand model behavior under adversarial conditions.
• Review and evaluate prompt injection, data leakage, model abuse and system misuse cases.
• Classify issues by impact and likelihood, and recommend mitigations.
• Apply threat modeling to emerging AI tech and architectures.
• Help improve AI system behavior to remain safe, aligned and robust.
• Complete task-based assignments independently on your schedule.

Skills

Cybersecurity background

Threat modeling

Analytical thinking

Independent / self-motivated

Tools

Penetration testing

Red teaming

Vulnerability research

Job description

AI / Emerging Tech Security Analyst (AI Training)

About The Role

What if your security instincts could directly shape how the world's most powerful AI systems defend themselves against attack? We're looking for AI Security Analysts to stress-test frontier models — probing for weaknesses, evaluating adversarial scenarios, 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 curious about how modern AI systems can be exploited, manipulated, or pushed beyond their intended boundaries. If you've ever wondered what happens when someone tries to break an LLM — this is your chance to find out, get paid for it, and make AI safer in the process.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Analyze real-world 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 by real-world impact and likelihood, and recommend appropriate mitigations
• Apply threat modeling principles to emerging AI technologies and architectures
• Help evaluate and improve AI system behavior so it remains safe, aligned, and robust against attack
• Complete task-based assignments independently on your own schedule

Who You Are

• Background in cybersecurity, information security, or a closely related technical field
• Solid understanding of security threat modeling — and genuine curiosity about how it applies to AI
• Analytical and precise when evaluating complex systems, edge cases, and potential failure modes
• Comfortable working through ambiguous, open-ended scenarios with a structured mindset
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Hands-on experience with penetration testing, red teaming, or vulnerability research
• Familiarity with large language models, AI APIs, or prompt engineering
• Background in application security, cloud security, or ML systems
• Prior exposure to AI safety, alignment research, or responsible disclosure
• Experience writing clear, structured security reports or risk assessments

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
• Contribute to AI safety work that has a real impact on how the world's most advanced models behave
• Potential for ongoing work and contract extension as new projects launch