micro1 role
AI Jailbreak & Prompt-Injection Security Expert at micro1
Security specialists design ways to test AI systems for jailbreaks, prompt injection and tool-use abuse as part of a customer's AI safety work. They build multi-turn elicitation strategies, maintain regression suites that track susceptibility, and write up findings for technical and non-technical readers. The contract is remote, and the listing names no pay rate or weekly hours.
Referral link. If micro1 hires you through this link and you meet its conditions, we may be paid a referral fee.
What you would do
- Design methods for evaluating AI safety through ethical jailbreaks, red teaming, prompt injection and tool-use abuse
- Develop multi-turn, cross-domain elicitation strategies to surface adversarial bypass patterns
- Build and maintain regression test suites for jailbreak and prompt-injection weaknesses
- Work with technical teams to turn findings into model safety improvements
- Document methods and results in clear reports and presentations
What the listing asks for
- Preferred: 2+ years in adversarial ML, LLM red teaming, AI safety evaluation or related security work
- Preferred: a track record finding jailbreak, prompt-injection or tool-use vulnerabilities
- Preferred: PhD or MS in computer science, cybersecurity or machine learning, or equivalent experience
- Preferred: community recognition through published research, open-source tools or talks
- Preferred: familiarity with current LLM architectures and security assessment tools
Suits AI security researchers and red teamers with published or open-source work on LLM vulnerabilities who write clear reports.
The listing as micro1 posted it
This is micro1's public listing for the role, read October 29, 2026, with dashes and placeholder links cleaned up. The listing is micro1's text; the summary above and everything below it is ours.
Role Title: AI Jailbreak & Prompt-Injection Security Expert
Role Type: Contractor
Location: Remote
micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.
Scope of Work
- Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
- Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
- Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
- Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
- Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
- Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.
Preferred Qualifications
- 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
- Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
- Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
- High credibility and recognition within the AI security or adversarial ML community - such as published research, open-source tools, or conference presentations.
- Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
- Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
- Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.
Referral link. We may be paid a referral fee.
Pay and terms
The listing does not state a rate for this role. micro1's expert guide describes pay in bands by type of work rather than per role, so treat any figure you see elsewhere as unconfirmed until it appears in your contract.
micro1 engages experts as contractors. Its help library says payments are made in USD twice a month and that contracts and payroll run through Deel. Payments cannot be processed until identity verification there is complete. Read our micro1 review for what workers say about project availability and support.
Before you apply
Engineering listings usually ask for years of professional experience, and some ask for a public code history such as open-source commits. Have your profile or repositories ready to link.
Applying starts with an AI interview, then certification, then matching to projects by recruiters. micro1 says certification does not guarantee a project, so treat this as flexible work and not as a job offer. The how to become an AI trainer guide walks through each step.
Referral link. We may be paid a referral fee.
People also ask
How to get into AI red teaming?
For this micro1 contract, the listing prefers 2+ years in adversarial machine learning, LLM red teaming, AI safety evaluation or a related security field, proven work uncovering jailbreak, prompt-injection or tool-use vulnerabilities, and a PhD or MS in a relevant field or equivalent experience. Recognition such as published research, open-source tools or talks counts. Applicants take micro1's AI interview.
What is agentic AI red teaming?
This micro1 listing does not use the term agentic. The nearest part of its scope is tool-use abuse scenarios, tested alongside ethical jailbreaks, prompt injection and multi-turn adversarial bypass patterns. Contributors design those evaluations, maintain regression test suites for these weaknesses and report findings to technical stakeholders.
How much does the AI Jailbreak & Prompt-Injection Security Expert role at micro1 pay?
The listing does not state a rate for this role, so we cannot give a figure. micro1's expert guide describes pay in bands by type of work rather than per role. Ask during onboarding, and read the contract before you accept work.
Is the AI Jailbreak & Prompt-Injection Security Expert role remote?
The listing calls it remote work and does not name a country limit. micro1 says it hires globally but cannot hire in a list of excluded countries, so read the eligibility line on the listing and in your application before you start.
How do I apply for the AI Jailbreak & Prompt-Injection Security Expert role?
Open the listing on micro1's site and apply there. Applying starts with an AI interview, followed by certification and matching to projects by recruiters. micro1 says certification does not guarantee a project. Our how to become an AI trainer guide covers each step.
Is this listing still open?
We read micro1's public listing on October 29, 2026. Roles close without notice, so confirm on the listing itself. If it has closed, the other software engineering roles on this site are linked below.
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Sources and method
- micro1 public job listing for this role, read October 29, 2026. The summary, task and requirement lines are our paraphrase of that listing.
- The questions under People also ask: Google's related questions for this kind of role in the United States, as reported by Ahrefs, pulled October 29, 2026. Answers are ours, written from the listing and from our own sourced micro1 pages.
- micro1 help library and expert guide for payment timing and the hiring steps, read 17 October 2026.
Listings change without notice. If this page is out of date, tell us.
Referral link: we may be paid if micro1 hires you.