Technical Analyst Intern

ECS is seeking a Technical Analyst Intern to work in our Fairfax, VA office.  

We are seeking a highly motivated and detail-oriented Technical Analyst to support the end-to-end development and enhancement of AIGINT Superpages — the foundational training artifacts that power AIGINT’s AI Governance Modules. This role is critical to the AIGINT Technical Development Roadmap and will directly contribute to the delivery of modular, deployable AI governance components across various stages of the AI development lifecycle.

The ideal candidate will assist with the technical drafting, augmentation, validation, and continuous improvement of Superpages, working in close collaboration with the Tech Lead, Senior Data Scientist, and AIGINT Lead. This position offers a unique opportunity to develop foundational skills in AI governance, applied machine learning infrastructure, and feedback loop modeling while working on a high-visibility strategic project.

Key Responsibilities:

Superpage Development (Primary Focus – ~70%)

• Assist in drafting Superpages by integrating structured content including:
• Translate AI TDL steps and AIGINT sub-component objectives into technically robust Superpage content.
• Use templated Markdown + Python formats to ensure Superpage compatibility with AIGINT’s lightweight model training and UI rendering processes.
• Augment content using prompt-based generation tools and verify outputs through guided review sessions.
• Maintain internal documentation of Superpage versioning, QA progress, and feedback integration history in JIRA.
• Support technical scaffolding for feedback loop integrations within the Superpage structure.
• Quantitative Metrics
• Metric Generation Scripts (Python-based)
• Expanded Technical Considerations
• Programmatic Implementation logic
• Test Harnesses for Programmatic Implementation and Quantitative Metrics

Feedback Model Loop Integration & Testing (~20%)

• Conduct basic validation and unit testing of feedback loops tied to:
• Assist senior team members in verifying model output alignment with Superpage constraints and thresholds.
• Maintain traceability between model inputs, ECs, justifications, and recommended outputs.
• Technical Survey EC (Expanded Consideration) routing logic
• Augmented Question generation
• Recommendation Justification generation
• Recommendation feedback loop
• Generation of delta tracking for challenged responses

Cross-Module Coordination (~10%)

• Collaborate with Senior Data Scientists and Tech Lead to ensure the Superpages integrate smoothly with:
• Participate in weekly stand-ups to report on progress, challenges, and deliverables for assigned modules.
• Lightweight sub-model implementations
• AIGINT Module UI components
• Technical Survey elements

Qualifications

• Python (pandas, numpy, scikit-learn, etc.)
• Jupyter
• Markdown & YAML
• GitLab CI/CD
• Lightweight LLMs (e.g., TinyLLaMA via DoRA adapters)
• Prompt-based augmentation tools (e.g., ChatGPT, Claude, etc.)