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Remote Teaching Cyber Security Jobs in Powder Springs, GA

Ultimate Knowledge

AI Workflow Engineer

Atlanta, GA · Remote

About UKi Since 1999, Ultimate Knowledge Institute has set the standard for cybersecurity training ... Evangelize, teach, and support AI adoption across the team; you'll be a force multiplier, not a ...

All JobsTeaching Cyber Security JobsRemote Teaching Cyber Security JobsRemote Teaching Cyber Security Jobs in Powder Springs, GA

Remote Teaching Cyber Security information

See Powder Springs, GA salary details

$36.5K

$55.1K

$82.4K

How much do remote teaching cyber security jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote teaching cyber security in Powder Springs, GA is $55,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $61,100.00 per year, depending on experience, location, and employer.

What is remote teaching in cyber security?

Remote teaching in cyber security involves delivering educational content about cyber security concepts, practices, and tools through online platforms rather than in traditional classroom settings. Instructors use video conferencing, online labs, and digital resources to teach topics such as ethical hacking, network security, and data protection. This mode of teaching allows students from various locations to access specialized knowledge and interact with experts in the field. Remote teaching also provides flexibility and can cater to different learning styles using diverse multimedia tools.

What are the key skills and qualifications needed to thrive as a remote teaching cyber security professional?

To thrive as a Remote Teaching Cyber Security professional, you need a solid understanding of cybersecurity principles, practical experience in the field, and usually a relevant degree or certifications like CISSP, CompTIA Security+, or CEH. Familiarity with learning management systems (LMS), virtual labs, and remote collaboration tools is essential for effective online instruction. Strong communication, adaptability, and the ability to engage and motivate students are standout soft skills in this role. These competencies are crucial for delivering high-quality, accessible, and up-to-date cybersecurity education in a virtual environment.

What are some common challenges faced by remote cyber security instructors, and how can they be addressed?

Remote cyber security instructors often encounter challenges such as keeping students engaged in a virtual setting, effectively demonstrating complex technical concepts, and managing different skill levels within a cohort. To address these, instructors can utilize interactive tools like virtual labs, live demonstrations, and real-time quizzes to enhance participation. Additionally, offering flexible office hours and creating online discussion forums helps ensure students receive personalized support and fosters a collaborative learning environment.

What is the difference between Remote Teaching Cyber Security vs Remote Cyber Security Analyst?

AspectRemote Teaching Cyber SecurityRemote Cyber Security Analyst
CredentialsCybersecurity certifications, teaching credentials (if applicable)Cybersecurity certifications (e.g., CISSP, CEH), relevant degrees
Work EnvironmentOnline/remote education platforms, virtual classroomsRemote security monitoring, incident response, analysis tools
Employer & IndustryEducational institutions, online training providersCorporations, government agencies, cybersecurity firms
Search & Comparison IntentLearning roles, teaching cybersecurity remotelySecurity analysis, threat detection remotely

Remote Teaching Cyber Security involves educating students or professionals about cybersecurity concepts via online platforms, focusing on instruction and curriculum delivery. In contrast, Remote Cyber Security Analyst focuses on monitoring, analyzing, and responding to security threats remotely within organizations. While both roles require cybersecurity knowledge, teaching emphasizes education skills, whereas analyst roles focus on technical security operations.

What job categories do people searching Remote Teaching Cyber Security jobs in Powder Springs, GA look for?

The top searched job categories for Remote Teaching Cyber Security jobs in Powder Springs, GA are:

What cities near Powder Springs, GA are hiring for Remote Teaching Cyber Security jobs?

Cities near Powder Springs, GA with the most Remote Teaching Cyber Security job openings:

Remote Teaching Cyber Security jobs near you
Infographic showing various Remote Teaching Cyber Security job openings in Powder Springs, GA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $55,084 per year, or $26.5 per hour.

AI Workflow Engineer

Atlanta, GA • Remote

Ultimate Knowledge
11 - 50 employees
Learn more about Ultimate Knowledgeexternal

Full-time

Posted 5 days ago

Job description

Build the Agentic Software Factory

AI is rewriting how software gets built and most organizations are still bolting chatbots onto yesterday's process. We're doing something different. UKi is looking for an AI Workflow Engineers to architect our agentic SDLC from the ground up: formalized pipelines where AI agents plan, build, test, review, and ship alongside a core team of skilled senior US-based engineers, with the governance, grounding, and measurement to prove it works.

This isn't a research role and it isn't prompt tinkering. You'll be designing the delivery system itself the workflows, guardrails, and feedback loops that let a high-performing team move dramatically faster without sacrificing the engineering excellence we practice every day. Your work will directly accelerate a mission that matters: delivering workforce readiness to the nation's cyber warfighters.

Agentic development is the biggest shift in how software gets built since continuous delivery itself. Very few teams get to design and own that transformation from the ground up, backed by senior engineers who want it to succeed, in service of a mission that protects the people defending the nation. If you've been waiting for the role where AI engineering meets real delivery discipline and real impact, this is it.

About UKi

Since 1999, Ultimate Knowledge Institute has set the standard for cybersecurity training and readiness for the Department of Defense, federal agencies, and Fortune 500 companies. Today we're delivering a platform that builds and demonstrates true workforce and work-role readiness. Our platform identifies individual expertise gaps and builds adaptive, custom training plans to close those gaps for Federal U.S. Government, Defense, Intelligence Community, State/Local, and commercial customers. You'll be joining a newly forming AI engineering team inside a mature product engineering team, which means real users, real stakes, and a green field for how AI transforms the way we build.

What You'll Do

Build our agentic SDLC pipeline. Design, implement, and operate agentic workflows across the development lifecycle - planning, code generation, review, testing, documentation, and release that is all integrated with our GitOps and CI/CD infrastructure.

Level up developer experience. Bring modern AI integrations into the daily workflow of our engineering team: coding agents, automated review, intelligent test generation, and self-service tooling that removes friction and multiplies output.

Engineer grounded, trustworthy systems. Build retrieval-grounded and context-aware AI systems that produce reliable, verifiable results and design the evaluation harnesses that prove it.

Establish governance and guardrails. Define and implement the policies, human-in-the-loop checkpoints, audit trails, and security controls that let us adopt agentic AI responsibly in environments where trust is non-negotiable.

Formalize and scale. Turn what works into repeatable frameworks, playbooks, and internal platforms that extend agentic acceleration beyond engineering to the whole organization.

Champion the practice. Evangelize, teach, and support AI adoption across the team; you'll be a force multiplier, not a silo.

Why Now 

Agentic development is the biggest shift in how software gets built since continuous delivery itself - and very few teams get to design that transformation from a blank page, backed by senior engineers who want it to succeed, in service of a mission that protects the people defending the nation. If you've been waiting for the role where AI engineering meets real delivery discipline and real impact, this is it. 

Requirements

Required:

2-3+ years of hands-on experience building with AI/LLM systems in production settings.

2+ years designing and operating agentic workflows and pipelines including multi-step agent orchestration, tool use, evaluation, and governance.

Experience embedded in modern development teams practicing GitOps and CI/CD (required).

Working knowledge of grounded AI patterns: RAG, context engineering, structured outputs, and evaluation/observability for LLM systems.

Solid software engineering fundamentals in JavaScript/TypeScript and/or Python; comfort working in and around our stack (Angular/React frontends on Express web applications).

Genuine alignment with continuous delivery culture the Allspaw/Hammond, Phoenix Project (Kim) school of small batches, fast feedback, blameless learning, and operational excellence.

A self-starter's bias for action: you see an opportunity to accelerate the team and you build it, measure it, and share it.

Strong communication skills you can explain an agentic architecture to an engineer and its ROI to an executive.

Must be authorized to work in the United States; role is US-remote.
Nice to Have

Experience with agent frameworks and protocols (e.g., LangGraph/LangMem, Claude Agent SDK, MCP, OpenAI Agents) and AI coding tools (Claude Code, Copilot, Cursor).

Building developer platforms, internal tooling, or platform engineering / DevEx functions.

DORA-style delivery metrics and engineering analytics.

Familiarity with AI governance frameworks (NIST AI RMF) and secure SDLC practices.

Our Tech Environment 

Angular and React frontends on Express/Node.js web applications, delivered through GitOps and automated CI/CD pipelines. We practice continuous delivery: deploy often, automate everything, learn from every incident. You'll have wide latitude to introduce the agentic tooling and AI infrastructure this mission needs. 

Benefits

Base salary range: $150,000-$200,000, commensurate with experience, plus benefits. This range reflects current market rates for mid-level AI/agentic engineering talent in US-remote roles. 

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