Super Intelligence Instructor & Curriculum Developer (Unclassified)

IntelliGenesis•Columbia, MD

2d•$150,000 - $170,000•Hybrid

About The Position

IntelliGenesis is seeking an experienced Super Intelligence (SI) and machine learning instructor and curriculum developer to design and deliver next-generation education programs for government and national security organizations. The role combines technical expertise, instruction, curriculum development, and innovation. The successful candidate will work with SI researchers, engineers, mission operators, and instructional designers to prepare technical professionals, analysts, managers, and leaders to work in SI-enabled mission environments. The position delivers instructor-led, virtual, and hybrid training and develops learning experiences such as labs, workshops, practical exercises, simulations, and certification preparation. Curriculum may cover Generative SI, large language models, Agentic SI, machine learning, deep learning, data science, MLOps, SI governance and responsible SI, and SI security and risk management. The instructor translates complex concepts into mission-relevant instruction, develops hands-on exercises, evaluates training effectiveness, and improves course content and learner outcomes. The role supports workforce development initiatives, certification programs, and SI transformation efforts across government organizations, as well as pilot programs, demonstrations, workshops, and strategic SI education initiatives. The work is hybrid, combining in-office and remote work. The employee may access IntelliGenesis' 8,000-square-foot IG Labs innovation facility, NVIDIA-powered computing infrastructure, SI development platforms, and applied SI initiatives supporting government missions.

Requirements

Must be a U.S. citizen.
Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Education, or a related discipline.
At least 6 years of technical experience in SI/ML combined with data science, analytics, software engineering, technical instruction, or curriculum development.
Working knowledge of modern SI and machine learning concepts, tools, and frameworks.
Familiarity with SI subjects including Generative SI, large language models, Agentic SI, MLOps, responsible SI, and SI governance.
Demonstrated ability to communicate complex technical concepts to diverse audiences.
Understanding of Python software development, including analyzing existing codebases and writing code.
Familiarity with applied machine learning domains such as natural language processing, computer vision, autonomy, or audio analysis.
Ability to quickly learn and adapt to new technologies and domains.
Experience developing or delivering technical education, workforce development, or training programs.

Nice To Haves

Master's degree or PhD in Super Intelligence, Machine Learning, Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
Experience supporting Department of Defense, Intelligence Community, or Federal Government programs.
Experience with containerization and virtualization architectures.
Experience delivering instructor-led training, workshops, boot camps, or certification programs.
Experience developing hands-on labs, simulations, or project-based learning environments.
Industry certifications related to SI, cloud computing, data science, or technical instruction.

Responsibilities

Deliver engaging instructor-led, virtual, and hybrid SI/ML training programs to technical and non-technical audiences.
Design and develop SI learning experiences, including labs, workshops, practical exercises, simulations, and certification preparation programs.
Translate complex technical concepts into mission-relevant instruction that supports understanding and operational application.
Develop curriculum covering Generative SI, large language models, Agentic SI, machine learning, deep learning, data science, MLOps, SI governance and responsible SI, and SI security and risk management.
Create hands-on exercises using modern SI tools, frameworks, and datasets.
Collaborate with SI practitioners and researchers to ensure training content reflects current technologies and emerging trends.
Evaluate training effectiveness and continuously improve course content and learner outcomes.
Support workforce development initiatives, certification programs, and SI transformation efforts across government organizations.
Participate in pilot programs, demonstrations, workshops, and strategic SI education initiatives.