AI Summary
Alignerr seeks experienced cloud security practitioners to train AI systems on real-world cloud threats and misconfigurations. Responsibilities include analyzing cloud security scenarios, reviewing configurations, and providing expert feedback to improve AI capabilities. Requires 2+ years of hands-on cloud experience and a solid understanding of cloud security principles.
Key Highlights
Train AI systems to understand real-world cloud threats and misconfigurations.
Apply production cloud security experience to shape AI reasoning.
Fully remote and flexible work arrangement.
Key Responsibilities
Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, misconfigurations, and failure patterns.
Review and evaluate IAM policies, networking configurations, storage permissions, and container security setups.
Classify security gaps and vulnerabilities based on real-world impact, blast radius, and business risk.
Validate and improve AI-generated security reasoning to ensure it reflects how cloud incidents actually unfold.
Provide structured expert feedback that directly improves AI security capabilities.
Technical Skills Required
Benefits & Perks
Fully remote
Flexible schedule
Nice to Have
Experience with cloud security tools, CSPM platforms, or SIEM/SOAR systems
Background in penetration testing, red teaming, or incident response
Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
Prior experience contributing to AI training or evaluation projects
Job Description
Cloud Security Analyst (AI Training)
About The Role
Alignerr partners with the world's leading AI research labs to build and evaluate cutting-edge AI models. Right now, we're looking for experienced cloud security practitioners to help us train AI systems that reason accurately about real-world cloud threats, misconfigurations, and incidents.
This isn't a typical security role. You'll be applying your hard-won production experience to shape how AI understands cloud security — helping it think the way a seasoned practitioner actually does.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, misconfigurations, and failure patterns
- Review and evaluate IAM policies, networking configurations, storage permissions, and container security setups
- Classify security gaps and vulnerabilities based on real-world impact, blast radius, and business risk
- Validate and improve AI-generated security reasoning to ensure it reflects how cloud incidents actually unfold
- Provide structured expert feedback that directly improves AI security capabilities
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- 2+ years of hands-on experience working with cloud environments in production
- Solid understanding of cloud IAM, networking, storage, and container security across one or more major cloud platforms
- Experience identifying and reasoning about real-world misconfigurations and security incidents
- Able to clearly articulate blast radius, risk exposure, and business impact of security issues
- Self-directed and comfortable working asynchronously on task-based assignments
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- Experience with cloud security tools, CSPM platforms, or SIEM/SOAR systems
- Background in penetration testing, red teaming, or incident response
- Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
- Prior experience contributing to AI training or evaluation projects
- Work directly on frontier AI systems being developed with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful impact by helping AI reason correctly about cloud security
- Potential for ongoing work and contract extension
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