Cybersecurity RL Environment Reviewer – Security Engineering, Defensive, Cloud & Infrastructure

Job not on LinkedIn

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $65 - $250 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Widget Factory

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Widget Factory builds the environments where advanced AI learns to work. They bring together engineers, operators, and domain experts to design tasks, systems, and real-world challenges that train frontier models. Their projects focus on enabling models to solve ambiguous problems, coordinate across systems, and make decisions under uncertainty. The company emphasizes the intersection of human judgment and machine capability and employs 100+ Problem Design Engineers. Operating since 2025.

📋 Description

• Review described incidents, misconfigurations, or detection gaps for realism, reproducibility, and solvability using only the provided context • Verify detection/remediation grading distinguishes correct fixes from incorrect or incomplete fixes • Verify planted forensic artifacts are genuinely recoverable through sound methods • Flag inconsistent files, missing context, unclear requirements, or ambiguities • Write a short, clear justification for every decision • Complete a paid sample review of one task, roughly 30–45 minutes, before regular work

🎯 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 • A certification such as GCIH, GCFA, GREM, CISSP, or a cloud-security credential (e.g., AWS Security Specialty) is a nice to have • Experience building or tuning detection content professionally is a nice to have • CTF experience in forensics/misc categories, or past blue-team competition experience, is a nice to have • Currently authorized to work in the US • Must answer whether sponsorship will ever be needed

🏖️ Benefits

• Part-time, flexible-hours contract work • Paid sample review before starting regular work