​Mindrift is seeking a Freelance Cybersecurity Analyst to work as an AI Trainer, contributing to projects aimed at giving GenAI models complex reasoning skills in cybersecurity. This role requires deep, hands-on experience in security operations to analyze and validate AI-generated content and performance.

• ​Location: Remote (Must currently reside in the specified country—though the posting says Remote Iowa, US is listed).
• ​Compensation: Up to $55/hour, depending on skills, experience, and project needs.
• ​Type: Part-time, fully remote, freelance project with a flexible schedule.
• ​Focus: Training AI models by analyzing simulated security incidents, conducting threat hunting, assessing AI-generated reports, and refining the model’s understanding of SOC workflows and specific security tools.

​What You’ll Do: AI Training and Cybersecurity Investigation

​The analyst’s duties directly involve evaluating and improving the AI model’s security capabilities.

• ​Incident & Threat Analysis: Analyze and investigate simulated security alerts and incidents across endpoints, identities, and cloud environments.
• ​Threat Hunting: Conduct proactive threat hunting using KQL or similar query languages.
• ​AI Validation: Assess the accuracy and depth of AI-generated security incident reports and threat analyses.
• ​Product Expertise: Review, validate, and improve the model’s understanding of Microsoft Defender products and standard Security Operations Center (SOC) workflows.
• ​Feedback Loop: Provide expert feedback on AI performance in identifying and classifying cybersecurity threats.

​Requirements: SOC, Microsoft Defender, and KQL Proficiency

• ​Experience: At least 3 years of hands-on experience in cybersecurity operations, incident response, or threat detection.
• ​Work Background: Proven background working in Security Operations Centers (SOC).
• ​Technical Proficiency: Proficient in Microsoft Defender products (Endpoint, Identity, Cloud Apps) and familiar with Microsoft Sentinel or similar SIEM tools (Splunk, QRadar, Elastic).
• ​Query Language: Strong experience using KQL (Kusto Query Language) or equivalent log analysis tools for threat detection and investigation.
• ​Education/Certification: Bachelor’s or Master’s Degree in Cybersecurity or related field is preferred. Recognized industry certification (e.g., SC-200, AZ-500, CISSP, CEH, CompTIA Security+) is preferred.