Federal IT Specialist
Summary
Remote contractor role reviewing and refining AI-generated federal IT content — ATO packages, incident reports, privacy impact assessments, and IT investment business cases — plus troubleshooting simulated hardware, software, and network incidents. Backed by 5+ years of US federal IT experience (GS-2210) with FISMA/NIST compliance.
Federal IT Specialist
https://jobs.micro1.ai/post/4cbcd4bd-c00b-4f93-be66-4d9d2bc95dfc?referralCode=10002f4f-2f65-476f-b8d5-434a25460930&utm_source=referral&utm_medium=share&utm_campaign=job_referral
Role Type: Contractor
Location: Remote
Scope of Work
Review, analyze, and provide expert feedback on AI-generated content related to federal IT processes, including ATO package reviews, IT investment business cases, incident reports, and privacy impact assessments.
Diagnose and resolve complex hardware, software, network, and application incidents generated by AI, reflecting realistic federal environments.
Contribute actionable insights to technical guidance and training resources for AI model development, ensuring accuracy in federal IT contexts.
Evaluate and refine technical documentation, system configurations, and security controls generated by AI systems.
Support incident response simulations and use-case evaluations to improve AI model performance in detecting and addressing security incidents.
Assess AI outputs for alignment with federal cybersecurity, privacy, and information assurance requirements.
Preferred Qualifications
5+ years of experience in federal IT roles (GS-2210 or equivalent), with demonstrated success in hardware repair, network administration, and incident response.
Proven track record in information security implementation and compliance within federal frameworks (e.g., FISMA, NIST).
Expertise in diagnosing and troubleshooting heterogeneous IT environments (hardware, software, network, applications).
Experience preparing or reviewing federal documentation: ATO packages, privacy impact assessments, incident reports, or IT investment business cases.
Commitment to upholding data integrity, security, and privacy in all deliverables and project activities.