Super Intelligence Instructor & Curriculum Developer (Unclassifi with Security Clearance

IntelliGenesis LLC®; Columbia (MD); Ibrido; USD 150.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

IG Labs access

Descrizione del lavoro

IntelliGenesis LLC is seeking an experienced Super Intelligence Instructor & Curriculum Developer to design and deliver education programs for government and national security organizations in a hybrid Columbia, MD setting.

You will work with SI researchers, engineers, and instructional designers to craft labs, workshops, and simulations that prepare analysts and leaders for an SI-enabled future. Strong teaching, Python, and domain knowledge are required.

Competenze

• Must be a U.S. Citizen.
• Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Education, or related discipline.
• 6+ years of technical experience in SI/ML with data science, analytics, software engineering, instruction, or curriculum development.
• Working knowledge of modern SI and machine learning concepts, tools, and frameworks.
• Familiarity with 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 (NLP, computer vision, autonomy, audio analysis).
• Ability to quickly learn and adapt to new technologies and domains.
• Experience developing or delivering technical education, workforce development, or training programs.
• Desired: Master's degree or PhD in related discipline; experience with DoD/IC/Federal programs; containerization/virtualization architectures; experience delivering instructor-led training; hands-on labs/simulations; industry SI/cloud/data science certifications.

Mansioni

• Deliver instructor-led, virtual, and hybrid SI/ML training programs to technical and non-technical audiences.
• Design and develop labs, workshops, practical exercises, simulations, and certification prep programs.
• Translate complex concepts into mission-relevant instruction for operation.
• Develop curriculum covering Generative SI, LLMs, Agentic SI, ML, DL, Data Science, MLOps, and governance.
• Create hands-on exercises using modern SI tools, frameworks, and datasets.
• Collaborate with SI practitioners and researchers to reflect current tech.
• Evaluate training effectiveness and improve content and learner outcomes.
• Support workforce development initiatives and SI transformation across government.

Descrizione del lavoro

« Back to Jobs IntelliGenesis Super Intelligence Instructor & Curriculum Developer (Unclassified) IntelliCademy - Columbia, MD - Full Time Citizenship Requirement: Must be U.S. Citizen *This role offers a hybrid work model, with both in-office and remote work.* Help Build the Super Intelligence Workforce of the Future

Super Intelligence (SI) is transforming every aspect of national security, but technology alone is not enough. Success depends on developing a workforce capable of understanding, applying, governing, and operationalizing SI in mission environments. IntelliGenesis is seeking an experienced SI/ML Instructor & Curriculum Developer to help design and deliver next‑generation SI education programs supporting government and national security organizations.

This role combines technical expertise, instruction, curriculum development, and innovation. You will work alongside SI researchers, engineers, mission operators, and instructional designers to create learning experiences that prepare technical professionals, analysts, managers, and leaders to succeed in an SI‑enabled future.

Unlike traditional training roles, you will have access to IntelliGenesis’ advanced SI research environment, including our 8,000‑square‑foot IG Labs innovation facility, NVIDIA‑powered computing infrastructure, and ongoing applied SI initiatives supporting real‑world mission challenges.

What You'll Do

• Deliver engaging instructor‑led, virtual, and hybrid SI/ML training programs to technical and non‑technical audiences.
• Design and develop innovative SI learning experiences, including labs, workshops, practical exercises, simulations, and certification preparation programs.
• Translate complex technical concepts into mission‑relevant instruction that drives understanding and operational application.
• Develop curriculum covering topics such as:
• Generative SI
• Large Language Models (LLMs)
• Agentic SI
• Machine Learning
• Deep Learning
• Data Science
• MLOps
• SI Governance and Responsible SI
• SI Security and Risk Management
• Create hands‑on exercises using modern SI tools, frameworks, and datasets.
• Collaborate with SI practitioners and researchers to ensure 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.

Why IntelliGenesis?

At IntelliGenesis, you won’t simply teach SI; you’ll help shape how SI is understood and adopted across the national security community.

You'll Have Opportunities To

• Access our 8,000‑square‑foot IG Labs innovation facility. * Collaborate with SI researchers, engineers, and mission experts.
• Work with advanced NVIDIA computing environments and SI development platforms.
• Explore emerging technologies including Generative SI, Agentic SI, Retrieval‑Augmented Generation (RAG), and autonomous systems.
• Influence SI certifications, workforce development pathways, and future training programs.
• Contribute to real‑world SI initiatives supporting government missions.

Required Qualifications

• Must be a U.S. Citizen
• Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Education, or related discipline.
• 6+ years of technical experience in SI/ML in combination 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 a variety of 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 analysis of existing codebases and ability to write code.
• Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
• Ability to quickly learn and adapt to new technologies and domains.
• Experience developing or delivering technical education, workforce development, or training programs.Desired Qualifications:
• Master's degree or PhD in Super Intelligence, Machine Learning, Computer Science, Data Science, Engineering, Mathematics, or 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.

Join us in helping build the SI‑ready workforce needed to support tomorrow's missions! Compensation Range: $150,000 - $170,000

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract‑specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well‑being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.