Arabic Cryptologic Language Analyst; CLA Training Developer

Overview

Dark Star Intelligence is seeking an Arabic Cryptologic Language Analyst (CLA) Training Developer to design, develop, and deliver cryptologic training programs aligned with NSA/CSS and DoD standards. This role focuses on preparing future SIGINT language analysts through hands-on, scenario-based, and blended learning techniques. In this role, you will ensure training materials accurately reflect operational duties and enable mission success. U.S. citizenship is required.

• Clarify and document operational requirements, training objectives, and material scope.
• Prioritize requirements for training development in collaboration with stakeholders.
• Conduct research using classified and unclassified resources to source authentic language content.
• Develop training materials covering transcription, translation, and analysis of operational exercises.
• Collaborate with instructors, government personnel, and contractor teams to produce domain-specific training content.
• Utilize tools such as Audacity, Adobe Creative Suite, and Adobe Premier to create blended learning experiences.
• Design and implement practical evaluations to measure student mastery of objectives.
• Recommend tools and applications to enhance training effectiveness.

• Active TS/SCI security clearance with Full-Scope Polygraph eligibility (CI Poly or CCA accepted while awaiting FS adjudication).
• Bachelor's degree in Language, Area Studies, Education, Instructional Systems Design (ISD), Intelligence, or related field; OR four (4) additional years of relevant practical experience in lieu of degree (for a total of nine years of experience).
• One year of ISD experience within the last four years, including synchronous/asynchronous methods and adult instruction using web-based tools (e.g., Centra, Blackboard, Questionmark, Sum Total).
• Native-level proficiency and minimum ILR level 4 in Arabic reading, listening, and speaking, with ILR level 2 in English; OR native English proficiency with ILR level 2+ in Arabic reading and listening (proficiency documented within the last five years).
• Five years of experience as a language analyst, including three years in SIGINT/IC roles, and at least one year of experience developing or updating training materials in line with ISD principles.

• Advanced proficiency with training technologies and eLearning platforms.
• Experience with blended learning and immersive training design for linguists.
• Prior NSA, DoD, or Intelligence Community training development experience.
• Demonstrated expertise in SIGINT operations and mission readiness training.

Salary Range: $75,000 - $78,000 annually. The listed pay range is intended as a general guideline and does not represent a guaranteed salary. Final compensation will be determined based on the role s responsibilities, the candidate s education, experience, and skill set, internal equity, market data, and applicable laws or agreements. Dark Star Intelligence provides a competitive and comprehensive benefits package designed to support the well-being and long-term success of our full-time employees.

Travel: Minimal, as required.

Work Environment: On-site, classroom-based instruction at Goodfellow Air Force Base.

All applicants must be U.S. citizens and must maintain eligibility for a U.S. government security clearance.

Dark Star Intelligence is a Service-Disabled Veteran-Owned Small Business (SDVOSB) committed to advancing national security through mission support and tradecraft development. We prioritize both client satisfaction and employee retention, delivering high-quality, intelligence-based solutions grounded in our "Core Four" values:

• Humility: We place mission success above personal recognition.
• Passion: We bring enthusiasm and dedication to every challenge.
• Agility: We adapt quickly to evolving operational needs.
• Ownership: We hold ourselves accountable for results and uphold the highest standards of excellence.

We are mission-driven and results-oriented, striving to make our country safer through every task we undertake.