Sr. Instructional Developer

GovCIO is currently hiring for an Instructional Developer to design and develop training materials for personnel . This position will be located in Fort Meade, MD and will be an onsite position.

Responsibilities

The Instructional Systems Developer (ISD) designs and develops training materials that prepare USCYBERCOMMAND personnel to (1) operationally use the Horizon3.ai Node Zero autonomous pen testing platform and (2) create and curate the training datasets required to enable future AI-powered cyber tools. Working closely with the Data Scientist and technical leads, the ISD converts complex platform workflows, data strategy constructs, and dataset preparation standards into role-based curriculum, hands-on labs, job aids, and assessment instruments. The ISD ensures training content reinforces standardized data taxonomy, labeling/metadata requirements, and quality controls so that data produced during IOC and follow-on implementation is consistent, reusable, and suitable for future AI training and validation.

Co-develop role-based curriculum with the Data Scientist for Node Zero employment and AI training set development

Produce training products (lesson plans, slide decks, labs, exercises, job aids, quick-reference guides)

Translate the program’s data strategy into teachable standards (taxonomy, labeling, metadata, quality checks)

Develop practical exercises that walk learners through ingest → interpret outputs → label/contextualize → package training sets

Create knowledge checks and evaluation methods to verify proficiency / consistency

Update materials as platform workflows and data standards mature into the May implementation phase

Qualifications

High School with 9+ years (or commensurate experience)

Required Skills and Experience

Clearance Required: TS/SCI CI Poly

9+ years of experience developing technical training for cyber, data, or analytics systems (DoD/IC preferred)

Demonstrated ability to build hands-on labs and performance-based assessments

Familiarity with data concepts relevant to AI training (datasets, labeling, metadata, bias/quality considerations)

Strong collaboration skills with data scientists, engineers, and operators

#NSS

#DL

#tm

Posted Salary Range

USD $110,000.00 - USD $120,000.00 /Yr.

The Instructional Systems Developer (ISD) designs and develops training materials that prepare USCYBERCOMMAND personnel to (1) operationally use the Horizon3.ai Node Zero autonomous pen testing platform and (2) create and curate the training datasets required to enable future AI-powered cyber tools. Working closely with the Data Scientist and technical leads, the ISD converts complex platform workflows, data strategy constructs, and dataset preparation standards into role-based curriculum, hands-on labs, job aids, and assessment instruments. The ISD ensures training content reinforces standardized data taxonomy, labeling/metadata requirements, and quality controls so that data produced during IOC and follow-on implementation is consistent, reusable, and suitable for future AI training and validation.

Co-develop role-based curriculum with the Data Scientist for Node Zero employment and AI training set development

Produce training products (lesson plans, slide decks, labs, exercises, job aids, quick-reference guides)

Translate the program’s data strategy into teachable standards (taxonomy, labeling, metadata, quality checks)

Develop practical exercises that walk learners through ingest → interpret outputs → label/contextualize → package training sets

Create knowledge checks and evaluation methods to verify proficiency / consistency

Update materials as platform workflows and data standards mature into the May implementation phase

High School with 9+ years (or commensurate experience)

Required Skills and Experience

Clearance Required: TS/SCI CI Poly

9+ years of experience developing technical training for cyber, data, or analytics systems (DoD/IC preferred)

Demonstrated ability to build hands-on labs and performance-based assessments

Familiarity with data concepts relevant to AI training (datasets, labeling, metadata, bias/quality considerations)

Strong collaboration skills with data scientists, engineers, and operators

#NSS

#DL

#tm