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Cybersecurity RL Environment Reviewer — Security Engineering (Defensive, Cloud & Infrastructure)

Widget Factory Vereinigte Staaten ; Vereinigte Staaten (whole country)
Part-time Remote work

Publication date: 14/11/2026

idleXperts is idler's quality assurance network of part-time, remote contributors ('experts') who review idler's reinforcement-learning environments before they are delivered to customers. The role is to build a dedicated bench of cybersecurity reviewers to QA defensive-security and infrastructure-security RL environments, including detection-engineering tasks, incident-response and root-cause-analysis tasks, cloud/IAM misconfiguration tasks, and digital-forensics tasks. Part-time, flexible-hours contract work; weekly workload will be scoped directly with the contributor. Application process: share resume/LinkedIn plus any relevant certifications, write-ups, or portfolio material; a short, paid sample review (one task, roughly 30–45 minutes) will follow before regular work starts.

Responsibilities

Review a described incident, misconfiguration, or detection gap and confirm it's realistic, reproducible from the given logs/environment, and solvable by a skilled practitioner using only the provided context; For detection/remediation tasks, confirm the grading actually distinguishes a correct fix from an incorrect or incomplete one; For forensics tasks, confirm the planted artifact is genuinely recoverable through sound method, not by guessing; Flag inconsistent files, missing context, unclear requirements, or anything that would make the task unsolvable or ambiguous; Write a short, clear justification for every decision

Requirements

Hands-on experience in at least one of: SOC/detection engineering, incident response, cloud security (AWS/GCP/Azure IAM and misconfiguration), or digital forensics; Comfortable working with logs, cloud consoles/CLIs, and a common detection-rule language (e.g., Sigma, KQL, or a SIEM's native query language), or standard forensic tooling; Able to clearly explain, in writing, why a finding is or isn't realistic and correctly graded; Reliable and self-directed, comfortable working async with limited oversight

Nice to have

A certification such as GCIH, GCFA, GREM, CISSP, or a cloud-security credential (e.g., AWS Security Specialty); Experience building or tuning detection content professionally, not just consuming it; CTF experience in forensics/misc categories, or past blue-team competition experience (e.g., CPTC, collegiate cyber defense)
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