AI Security Red-Teaming Specialist (Remote, Contract)

Alignerr • Australia
Remote
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AI Summary

Proactively identify and mitigate AI system vulnerabilities. Conduct red-teaming exercises, evaluate AI outputs, and collaborate with engineering teams to improve AI safety. Remote, flexible contract role.

Key Highlights
Conduct red-teaming exercises to uncover AI security weaknesses
Evaluate AI outputs for safety risks, bias, and policy compliance
Collaborate with engineering teams to recommend practical mitigations
Stay current on emerging AI security threats and best practices
Key Responsibilities
Conduct red-teaming exercises to uncover security weaknesses in AI systems
Design and execute adversarial prompts and edge-case scenarios to stress-test model guardrails
Evaluate AI outputs for safety risks, bias, and policy compliance
Document vulnerabilities, unexpected behaviors, and exploits in clear, structured reports
Collaborate with engineering teams to recommend practical mitigations and improvements
Stay current on emerging AI security threats, jailbreak techniques, and evolving best practices
Help define and refine security evaluation rubrics and testing protocols
Technical Skills Required
AI/ML Systems Cybersecurity Threat Modeling
Benefits & Perks
Remote work
Flexible hours (10-40/week)
Direct impact on AI safety for millions of users
Nice to Have
Familiarity with open-source AI platforms
Background in infosec, ethical hacking, or AI safety research

Job Description


About The Role

What if your job was to find every way an AI system could be fooled, manipulated, or exploited? That's exactly what we're hiring for. We're looking for security-minded professionals to red-team AI models, probe safety guardrails, and help make the next generation of AI systems more robust and trustworthy.

This is a fully remote, flexible contract role where your work directly shapes the safety of AI products used by millions of people.

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

What You'll Do

  • Conduct red-teaming exercises to uncover security weaknesses in AI systems
  • Design and execute adversarial prompts and edge-case scenarios to stress-test model guardrails
  • Evaluate AI outputs for safety risks, bias, and policy compliance
  • Document vulnerabilities, unexpected behaviors, and exploits in clear, structured reports
  • Collaborate with engineering teams to recommend practical mitigations and improvements
  • Stay current on emerging AI security threats, jailbreak techniques, and evolving best practices
  • Help define and refine security evaluation rubrics and testing protocols

Who You Are

  • You have a solid understanding of cybersecurity concepts, threat modeling, or penetration testing
  • You've worked hands-on with AI/ML systems, LLMs, or prompt engineering
  • You're a creative, analytical thinker who enjoys breaking things to make them better
  • You write clearly and document your findings with precision
  • You're comfortable working independently on asynchronous, task-based assignments
  • Familiarity with open-source AI platforms is a plus
  • A background in infosec, ethical hacking, or AI safety research is a bonus — but not required

Why Join Us

  • Work at the frontier — contribute to one of the most critical and fast-moving areas in tech: AI safety and security
  • Real impact — your findings directly improve AI systems relied on by millions of users worldwide
  • Full flexibility — set your own schedule and work from anywhere, fully remote
  • Build rare expertise — deepen your skills in AI red-teaming, a field with enormous and growing demand
  • Ongoing opportunity — strong performers are considered for expanded scope and contract extensions
  • Collaborate globally — work alongside researchers and engineers from top AI labs around the world

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