Remote Cloud Security Analyst (AI Training Focus)

Alignerr Corp.; Johannesburg; On-site; ZAR 904,000 - 1,809,000; Part time

Job summary

Alignerr Corp. seeks a Cloud Security Analyst (AI Training) to assess cloud risk, review IAM policies, networking and storage configurations, and identify real-world failure patterns across AWS, GCP, and Azure.

This remote, hourly contract requires strong written communication and practical cloud security know-how. You will analyze security misconfigurations, blast radius, and business impact, then provide expert feedback to shape AI models’ reasoning about cloud incidents.

Qualifications

• 2+ years of hands-on experience working with cloud environments in production (AWS, GCP, and/or Azure).
• Solid understanding of cloud IAM, networking, storage, and container security concepts.
• Familiarity with real-world misconfigurations, security incidents, and how they escape.

Responsibilities

• Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks, failure patterns, and real-world impact.
• Review and evaluate IAM policies, networking configurations, storage permissions, and container security setups.
• Classify security gaps, misconfigurations, and cloud-related failures based on blast radius and business risk.
• Validate and improve AI-generated security reasoning to reflect how cloud incidents actually unfold.
• Provide structured, expert feedback that shapes how AI models reason about cloud security.

Skills

Cloud experience

IAM concepts

Networking security

Container security

Written communication

AWS

GCP

Azure

Job description

Alignerr Corp. seeks a Cloud Security Analyst (AI Training) to assess cloud risk, review IAM policies, networking and storage configurations, and identify real-world failure patterns across AWS, GCP, and Azure.

This remote, hourly contract requires strong written communication and practical cloud security know-how. You will analyze security misconfigurations, blast radius, and business impact, then provide expert feedback to shape AI models’ reasoning about cloud incidents.