Contribute to the development of AI security reasoning by analyzing application security scenarios, classifying vulnerabilities, and creating security-focused reasoning datasets. 2+ years of experience in application security required. Strong written communication skills and ability to explain security reasoning clearly and systematically.
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Job Description
Application Security Analyst (AI Training)
About The Role
Your knowledge of how software breaks in the real world is exactly what's needed to make AI smarter about security. At Alignerr, we work with the world's leading AI research labs to build and train cutting-edge AI models — and we need experienced application security professionals to help AI learn how to think like a seasoned security engineer.
This is a fully remote, flexible contract role where your expertise directly shapes the next generation of AI reasoning around software risk.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic application security scenarios involving code, APIs, and system behavior
- Classify and evaluate vulnerabilities including authentication flaws, injection risks, and business logic issues
- Assess secure coding practices and remediation strategies for accuracy and completeness
- Create and validate security-focused reasoning datasets that teach AI how to assess and prioritize application risk
- Provide structured, expert-level feedback that directly improves AI security reasoning
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- 2+ years of hands-on experience in application, product, or software security
- Solid familiarity with the OWASP Top 10 and common vulnerabilities found in production environments
- Able to distinguish genuine exploitability from theoretical or low-impact risk
- Strong written communication skills with the ability to explain security reasoning clearly and systematically
- Self-directed and comfortable working asynchronously on task-based assignments
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- Experience in penetration testing, bug bounty hunting, or secure code review
- Background in API security, cloud-native environments, or DevSecOps
- Familiarity with AI or data labeling workflows
- Work directly on frontier AI systems with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful contribution to how AI understands and reasons about real-world security
- Potential for ongoing work and contract extension
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