Alignerr
Posted 176 days agoVerified live 17h ago
AI Security Testing Analyst
Brief overview
United StatesIn-person
$15–$75/hrStated range
Threat modelingPenetration testingVulnerability assessmentAI/ML systemsLarge language models (LLMs)Prompt engineeringCreative problem solvingAnalytical thinkingWritten communicationDocumentationIndependent workAsynchronous collaboration
About the company
Alignerralignerr.com
We're looking for experts to help train better AI.
Job description
Summary
Alignerr is looking for security-minded professionals to stress-test AI systems, ensuring their safety and reliability. The role involves conducting red-teaming exercises, evaluating AI outputs, and collaborating with engineering teams to recommend improvements.
Responsibilities
- Conduct red-teaming exercises to uncover security weaknesses in live AI systems
- Craft adversarial prompts and edge-case scenarios designed to test — and break — model guardrails
- Evaluate AI outputs for safety issues, bias, and policy compliance
- Document vulnerabilities, exploits, and unexpected behaviors in clear, structured reports
- Collaborate asynchronously with engineering teams to recommend mitigations and improvements
- Stay sharp on emerging AI security threats, jailbreak techniques, and evolving best practices
- Help define and refine security evaluation rubrics and testing protocols
Skills
- Strong grasp of cybersecurity concepts — threat modeling, penetration testing, or vulnerability assessment
- Hands-on experience with AI/ML systems, large language models (LLMs), or prompt engineering
- Creative and analytical mindset — you enjoy finding the edge cases others miss
- Excellent written communication and documentation skills
- Self-directed and comfortable working independently on asynchronous, task-based assignments
- Familiarity with open-source AI platforms is a plus
- Background in infosec, ethical hacking, or AI safety research is a bonus — not a requirement
Qualifications
Must Haves
- Strong grasp of cybersecurity concepts — threat modeling, penetration testing, or vulnerability assessment
- Hands-on experience with AI/ML systems, large language models (LLMs), or prompt engineering
- Creative and analytical mindset — you enjoy finding the edge cases others miss
- Excellent written communication and documentation skills
- Self-directed and comfortable working independently on asynchronous, task-based assignments
Nice to Haves
- Familiarity with open-source AI platforms is a plus
- Background in infosec, ethical hacking, or AI safety research is a bonus — not a requirement