Artificial Intelligence (AI) Subject Matter Expert / Instructor (Part-Time)
Is This You?
Graduate School USA is seeking experienced practitioners of artificial intelligence in government — agency Chief AI Officers and AI governance board members, AI program and product leads, data scientists and machine learning engineers, CIO and Chief Data Officer staff, AI policy and privacy analysts, and federal specialists who have put AI to work inside their own discipline (typically GS-13/14 and above, or equivalent agency, DoD, or uniformed-service experience) — who want to help the federal workforce use AI well.
This is not a traditional faculty position. We are looking for practitioners first: people who have stood up an AI governance board, run a use case through a risk assessment, written AI terms into a solicitation, evaluated a vendor's claims, answered a bias complaint, built an agency AI use case inventory, or simply changed how their office works by using these tools every day — and who can bring that lived experience into the classroom. If you have spent your career advising leadership, briefing stakeholders, or mentoring staff through technical change, you already have the foundation we need. You do not need to be a data scientist; you do need to explain how the technology actually works to people who are not. Formal teaching experience is highly preferred but not required; GSUSA provides instructional onboarding, established curriculum, and course materials.
Company Overview
Graduate School USA (GSUSA) is a distinguished training provider dedicated to delivering workforce development solutions exclusively to the federal government and public service professionals. With a proud legacy dating to 1921 — more than a century of service — GSUSA specializes in high-quality, practical training programs that enhance the skills and effectiveness of government employees through innovative learning experiences. GSUSA has partnered with more than 125 federal agencies and trained over one million federal employees.
Position Overview
GSUSA instructors teach predominantly live virtual courses, with occasional in-person sessions, within our Artificial Intelligence curriculum. Courses are taught to predefined GSUSA learning objectives with established materials — your job is to bring the subject matter to life with depth, currency, and real-world federal experience.
Our AI curriculum is deliberately cross-cutting. It runs from foundations, governance, and ethics through to applied courses built for specific federal disciplines — HR, acquisition, grants, audit, project management, performance management, asset management, and supply chain. We welcome two kinds of instructors: AI generalists who can teach the foundational and governance courses across any audience, and federal domain experts who have applied AI inside their own specialty and can teach it to their peers.
Curriculum Areas — Deep Expertise Required in One or More
We welcome instructors with deep expertise in one or more of the following tracks:
AI Foundations for Government: How modern AI works — machine learning, deep learning, and large language models — explained for a non-technical federal audience; getting useful output and writing effective prompts; recognizing hallucination, bias, and model limitations; verification habits; and using AI safely in government work.
AI Governance & Oversight: Who sets federal AI policy across the White House, OMB, NIST, Congress, and individual agencies, and how to locate the guidance that binds a given program; OMB M-25-21 on accelerating federal use of AI, M-25-22 on AI acquisition, and related guidance on procured language models; the NIST AI Risk Management Framework and the GAO AI accountability principles; designing a governance board, charter, named roles, and explicit decision authority; lifecycle phase gates, monitoring metrics, and retirement criteria; and assessing governance maturity.
AI Ethics & Responsible Use: Fairness, transparency, and accountability applied to real decisions; identifying and responding to bias claims; and the privacy, civil-rights, accessibility, and contestability safeguards that automated decisions affecting the public must meet.
Critical Thinking & Human Oversight: Evaluating AI output rather than accepting it; prompting as a reasoning skill; knowing which tasks to delegate and which to keep; and keeping human judgment accountable for the result.
AI Change Management & Leadership: Leading responsible AI adoption in an agency; managing workforce concern and resistance; building AI literacy across a team; and helping people move through the shift in how federal work gets done.
AI Acquisition & Vendor Risk: Embedding governance requirements into solicitations and contracts; scoping intellectual property and licensing rights to avoid vendor lock-in; evaluating vendor claims and distinguishing attestation from certification from independent evaluation; and building performance and monitoring requirements into the award.
Data, Security & Information Handling: What can and cannot be put into a model; recognizing, marking, and protecting controlled unclassified information; data classification and records implications; and the security questions to ask before a tool is approved for agency work.
Applied AI by Federal Discipline: Teaching AI inside a specialty — federal HR and position classification, grants management, acquisition and contracting, audit, project management, employee performance management, asset management, or supply chain risk. Deep expertise in the underlying discipline is what matters here.
Hands-On Tools & Platforms: Practical, hands-on instruction with Microsoft Copilot across Microsoft 365, ChatGPT, and other agency-approved assistants, including our bootcamp-format courses.
Minimum Qualifications - Read before Applying
A minimum of 7 years of professional experience in a federal agency, the uniformed services, or in direct, sustained support of federal clients — including at least 3 years of hands-on, applied AI work such as deploying, governing, evaluating, procuring, auditing, or systematically using AI, machine learning, or generative AI tools in a professional setting.
Alternatively, deep federal expertise in one of our applied disciplines — HR, acquisition, grants, audit, financial management, project management, or supply chain — combined with current, demonstrated experience applying AI within that discipline. Instructors in this path teach the applied courses in their specialty.
The ability to explain how AI works, and where it fails, to a non-technical federal audience. A data science background is welcome but not required; hands-on fluency and sound judgment are.
Demonstrated experience leading, training, briefing, advising, or mentoring professionals — for example, advising agency leadership, chairing or serving on a governance body, supervising technical staff, leading working groups, or conducting on-the-job or staff training.
Bachelor's degree or higher.
Casual or occasional personal use of a chatbot does not meet the applied AI requirement for the foundations and governance tracks.
Preferred Experience/Certifications
Direct experience applying current federal AI guidance — OMB M-25-21 and M-25-22, the NIST AI Risk Management Framework, the GAO AI accountability framework, agency AI use case inventories, and high-impact AI determinations — with current knowledge of evolving federal AI policy.
Service as an agency Chief AI Officer, AI governance board member or chair, AI program or product lead, or in a CIO, CDO, privacy, or civil-rights office with AI responsibility.
A relevant credential, such as the IAPP Artificial Intelligence Governance Professional (AIGP), a NIST AI RMF-aligned certificate, CIPP/G, CISSP, CDMP, PMP, or a vendor AI certification from Microsoft, AWS, or Google.
Hands-on working fluency with Microsoft Copilot, ChatGPT, Claude, or agency-approved AI platforms, and the ability to demonstrate them live.
Prior formal instruction experience with adult professional learners, in classroom or live virtual settings (e.g., agency AI training programs, GSA or agency-sponsored courses, professional association courses, or adjunct teaching of AI content).
Experience delivering training via Zoom or Microsoft Teams.
Key Duties & Responsibilities
Deliver engaging instruction on artificial intelligence topics to adult learners in live virtual and occasional in-person formats, aligned with GSUSA curriculum learning objectives.
Support instruction with provided materials (slides, handouts, references) and recommend updates based on technology and policy developments.
Draw on current federal AI practice to connect course content to learners' real-world agency challenges.
Respond promptly and professionally to student questions during and outside of class sessions.
Collaborate with GSUSA curriculum staff to keep course content accurate and current. AI policy and tooling change quickly, and instructor input is a primary way our courses stay current.
Comply with GSUSA policies, procedures, and quality standards, and participate in instructional onboarding and ongoing professional development.
Technology & System Requirements (Virtual Instruction)
Proficiency with Microsoft Office 365; comfort with Zoom, Microsoft Teams, and digital communication tools (training provided on GSUSA-specific platforms).
Windows 10 or macOS 10.9 or later; large or dual monitors; HD webcam; microphone and speakers; reliable broadband internet connection.
Ability to share your screen and demonstrate AI tools live during instruction.
Compensation & Total Rewards
GSUSA offers a competitive, market-based total rewards program. Instructor roles fall under two designations based on skills and experience; those selected for an Instructor designation can expect an hourly pay range of $40.00 to $60.00, with individual compensation determined by relevant experience, skills, geographic location, and level of role. This range is subject to change.
All GSUSA employees, including part-time instructors, are eligible to participate in our 401(k) retirement plan, administered through Empower. Employees are automatically enrolled at a 5% pre-tax contribution rate and may change their contribution rate or opt out at any time. Part-time instructors also accrue paid sick leave in accordance with applicable state and local law and have access to our learning management system and individual development planning resources.
Scheduling is intermittent and flexible — many of our instructors teach alongside full-time federal careers or in retirement.
Equal Opportunity
Graduate School USA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status.
Applications are accepted on an ongoing basis. Applicants requiring a reasonable accommodation to participate in the application or interview process may contact lisa.ciferni@graduateschool.edu.
Join us to make a meaningful impact on the federal workforce while advancing your career in a vibrant, supportive environment. We value innovation, dedication, and a passion for public service!
Benefits
401(k)
Flexible schedule
Paid sick leave
Compensation: $40.00 to $60.00 per hour, depending on experience, skills, and location.