Federal AI Self-Paced Instructor/SME (Contract)
Federal AI Self-Paced Instructor/SME (Contract)
Independent Contractor (1099) • Remote • Flexible, Project-Based
About us
Graduate School USA (GSUSA) provides professional training for the federal workforce. We're building self-paced online courses on AI for government, from AI literacy and prompt design through building AI-powered applications and retrieval-augmented generation (RAG) systems for agencies, and need an experienced AI practitioner to record the course videos.
The role
Review our finished scripts and course materials for accuracy before recording.
Record short instructional videos (each about 4 minutes or less) delivering the scripts on camera, using the core recording equipment we supply.
Record the first video for our approval before recording the rest of the course, so we lock in the style up front.
Make reasonable revisions and re-records at no extra cost until each video is accepted.
Work one course at a time on a flexible schedule we agree to together.
Who you are
3 to 5 years of hands-on experience working with AI, whether as a practitioner, developer, data scientist, consultant, or instructor. This is the only hard requirement.
Comfortable and clear presenting on camera, with a quiet, professional space to record in (we supply the core recording equipment).
Federal or public-sector experience, and a credential such as AWS Certified AI Practitioner, Microsoft Azure AI Engineer (AI-102), Google Professional Machine Learning Engineer, or IAPP AI Governance Professional (AIGP), are a plus.
AI knowledge we're looking for
You should be able to speak credibly, and catch obvious errors, across most of the following:
Generative AI and large language models (LLMs) such as ChatGPT, Claude, Gemini, and Microsoft Copilot, including how they work, where they fail, and how to evaluate their output.
Prompt design and reasoning strategies: role and context setting, few-shot examples, chain-of-thought, structured outputs, and iterative refinement.
Applying AI to everyday government work: writing and briefings, communications and public affairs, data analysis in Excel and Power BI, and workflow automation.
Microsoft 365 Copilot and other enterprise AI assistants in a government (GCC) environment.
Building AI solutions: Python, calling model APIs, agents and tool use, and retrieval-augmented generation (RAG) over agency knowledge bases, including embeddings, vector search, and evaluation.
Cloud AI platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI, and what FedRAMP authorization means for agency adoption.
Responsible and trustworthy AI: bias, hallucination, data privacy and security, human oversight, and the NIST AI Risk Management Framework.
The federal AI policy landscape: OMB M-25-21 and M-25-22, agency AI use-case inventories, and Chief AI Officer responsibilities.
Compensation
Approximately $35 to $65 per hour.
Independent-contractor (1099) engagement: you set your own hours and handle your own taxes.