AI Summary
Seeking security-minded professionals to stress-test AI systems by designing and executing red-teaming exercises. Responsibilities include crafting adversarial prompts, evaluating AI outputs for safety and bias, and documenting vulnerabilities. Requires strong cybersecurity understanding and hands-on AI/ML experience for this fully remote, flexible contract role.
Key Highlights
Stress-test AI systems to expose weaknesses and ensure safety.
Design and execute red-teaming exercises and adversarial attacks.
Fully remote, flexible contract role with direct impact on AI products.
Key Responsibilities
Design and execute red-teaming exercises to uncover security weaknesses in AI systems
Craft adversarial prompts and edge-case scenarios to probe model guardrails and safety filters
Evaluate AI outputs for unsafe behavior, bias, and policy violations
Document vulnerabilities, exploits, and unexpected behaviors in clear, structured reports
Collaborate with engineering teams to recommend practical mitigations and improvements
Stay current on emerging AI security threats, jailbreak techniques, and adversarial research
Help define and refine security evaluation rubrics and testing protocols
Technical Skills Required
Benefits & Perks
Fully remote
Flexible schedule
Ongoing contract potential
Nice to Have
Familiarity with open-source AI platforms or LLM ecosystems
Background in infosec, AI safety research, or adversarial ML
Job Description
About The Role
If you've ever looked at a system and immediately started thinking about how to break it — this role was made for you. We're looking for security-minded professionals to stress-test AI systems, expose their weaknesses, and help build the next generation of safe, reliable AI.
This is a fully remote, flexible contract role where your findings directly shape how AI behaves in the real world.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design and execute red-teaming exercises to uncover security weaknesses in AI systems
- Craft adversarial prompts and edge-case scenarios to probe model guardrails and safety filters
- Evaluate AI outputs for unsafe behavior, bias, and policy violations
- Document vulnerabilities, exploits, and unexpected behaviors in clear, structured reports
- Collaborate with engineering teams to recommend practical mitigations and improvements
- Stay current on emerging AI security threats, jailbreak techniques, and adversarial research
- Help define and refine security evaluation rubrics and testing protocols
Interested in remote work opportunities in QA & Testing? Discover QA & Testing Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Strong understanding of cybersecurity concepts — threat modeling, penetration testing, or ethical hacking
- Hands-on experience with AI/ML systems, large language models, or prompt engineering
- Creative and analytical — you enjoy finding the edge cases others miss
- Excellent written communication and documentation skills
- Comfortable working independently in an asynchronous, task-based environment
- Familiarity with open-source AI platforms or LLM ecosystems is a plus
- Background in infosec, AI safety research, or adversarial ML is a bonus — but not required
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Work at the cutting edge of AI security alongside top research labs
- See your work directly improve the safety of AI products used by millions of people
- Full autonomy and a flexible schedule — work when and how you work best
- Build deep, marketable expertise in one of the fastest-growing fields in tech
- Ongoing contract potential with opportunities to expand scope and responsibility
- Be part of a global community of experts shaping the future of responsible AI
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