Remote AI Security Tester & Red-Teaming Specialist

Alignerr Corp.

Sydney

On-site

AUD 96,000 - 165,000

Part time

17 hours ago
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Job summary

Alignerr Corp. is seeking security-minded professionals to red-team AI models and probe safety guardrails. This fully remote, hourly contract role offers flexible hours (10–40 hours/week) and a chance to influence the safety of AI products used by millions.

You will conduct red-teaming exercises, design adversarial prompts, and evaluate outputs for safety and bias. Collaboration with engineers will drive practical mitigations and evolving testing protocols.

Qualifications

  • Solid understanding of cybersecurity concepts, threat modeling, or penetration testing.
  • Experience with AI/ML systems, LLMs, or prompt engineering.
  • Clear, precise documentation of findings and reports.
  • Ability to work independently in async, task-based assignments.

Responsibilities

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

Skills

Cybersecurity concepts
Threat modeling
Penetration testing
AI/ML systems
Prompt engineering

Tools

Open-source AI platforms

Job description

Alignerr Corp. is seeking security-minded professionals to red-team AI models and probe safety guardrails. This fully remote, hourly contract role offers flexible hours (10–40 hours/week) and a chance to influence the safety of AI products used by millions.

You will conduct red-teaming exercises, design adversarial prompts, and evaluate outputs for safety and bias. Collaboration with engineers will drive practical mitigations and evolving testing protocols.

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