Remote Cloud Security Analyst for AI Training

Alignerr Corp.; Phoenix (AZ); Remoto; USD 83.000 - 138.000; Part-time

Vantaggi offerti da questo lavoro

Autonomy

Global collaboration

Fully remote

Descrizione del lavoro

Alignerr is seeking a Cloud Security Analyst (AI Training) for a remote hourly contract. You will analyze cloud security scenarios across AWS, GCP, and Azure, review IAM, networking, storage, and container security, and classify misconfigurations by impact.

You should have 2+ years in production cloud environments and strong written communication to document findings and influence AI training outcomes.

Competenze

• 2+ years of hands-on experience working with cloud environments in production.
• Solid understanding of cloud IAM, networking, storage, and container security concepts.
• Familiarity with real-world misconfigurations and security incidents across major cloud providers.
• Able to reason clearly and precisely about security risk, blast radius, and downstream business impact.
• Strong written communication skills for structured feedback and documentation.

Mansioni

• Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns.
• Review and assess IAM, networking, storage, and container security issues.
• Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact.
• Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents actually unfold.
• Help ensure AI systems reason correctly about blast radius, risk exposure, and business impact.

Conoscenze

Cloud security concepts

Production cloud experience

Cloud IAM concepts

Networking in cloud environments

Container security

Security risk reasoning

Strong written communication

Strumenti

AWS Security Hub

GCP Security Command Center

Microsoft Defender for Cloud

Descrizione del lavoro

Alignerr is seeking a Cloud Security Analyst (AI Training) for a remote hourly contract. You will analyze cloud security scenarios across AWS, GCP, and Azure, review IAM, networking, storage, and container security, and classify misconfigurations by impact.

You should have 2+ years in production cloud environments and strong written communication to document findings and influence AI training outcomes.