AI Training Instructor and Adoption Specialist

Computercraft Corporation•Bethesda, MD

2d•Hybrid

About The Position

We are looking for an AI Training Instructor and Adoption Specialist to deliver hands-on training and support workforce adoption of AI tools and workflows across the National Institutes of Health (NIH) scientific databases. This is a part-time or full-time opportunity, available as either a contract role or a staff position, that will be 6 months in duration with the potential for extension. The role is based in the Washington, DC, area with some in-person work. Candidates must be authorized to work in the United States.

Requirements

Bachelor’s degree in life sciences, data science, education, or related field
3–5+ years of experience delivering technical or scientific training
Experience teaching or enabling use of AI/ML tools, data tools, or technical systems
Strong ability to translate complex technical concepts into accessible guidance
Experience facilitating hands-on, interactive learning environments
Experience developing practical training materials (e.g., guides, templates, examples)

Nice To Haves

Background in bioinformatics or related fields
Experience working with biomedical, scientific, or research communities
Familiarity with AI tools such as large language models (LLMs), prompt engineering, and workflow-based AI applications
Experience supporting applied AI adoption (not just theoretical training)
Experience collaborating with technical teams to support real-world implementation

Responsibilities

Deliver hands-on training sessions, workshops, and live demonstrations focused on practical use of AI tools and workflows
Facilitate interactive learning experiences, including working sessions and guided exercises
Lead project-based learning, helping participants apply AI tools to their own work and use cases
Adapt instruction for diverse audiences (i.e., scientific, technical, administrative)
Provide ongoing coaching, office hours, and troubleshooting support for staff using AI tools
Support development and refinement of real-world AI pilot use cases
Help staff translate AI capabilities into practical workflows that improve productivity and efficiency
Promote adoption of consistent, effective AI usage practices
Translate technical AI concepts into clear, plain-language guidance and actionable workflows
Collaborate with engineers and SMEs to convert technical solutions into usable, accessible tools and templates
Develop practical examples, use cases, and demonstrations grounded in scientific databases
Develop and maintain lightweight, practical training materials, including step-by-step guides, example workflows, and prompt templates
Contribute to reusable resources such as prompt libraries and workflow playbooks
Ensure materials are clear, concise, and aligned with real user needs
Gather and synthesize feedback from participants to improve training effectiveness
Support evaluation of training outcomes and identify gaps in skills or adoption
Iterate on training approaches based on user experience and pilot outcomes