Technical Content & AI Automation Intern

Proscia • Philadelphia, PA

2d • Onsite

About The Position

We’re looking for a highly motivated summer intern to help evolve Proscia’s content infrastructure into an AI-ready, automation-driven system. This role sits at the intersection of technical communication, AI, and product enablement—focused on transforming how content is created, structured, and delivered to drive customer adoption and AI feature usage. You'll use modern AI tooling daily — drafting taxonomies, prototyping authoring assistants, pressure-testing your own output — because building AI-ready content systems demands AI-native practitioners, not retrofitted ones.

Requirements

• Currently pursuing a degree in Technical Communication, Information Science, Biomedical Engineering, Health Informatics, or a related field
• Demonstrated practice with LLMs and AI agents — you've built, prototyped, or shipped something with them in academic or personal work, and can speak specifically to what worked, what didn't, and why
• Excellent written communication skills with attention to structure, clarity, and usability
• Analytical mindset with the ability to break down complex systems into modular components
• Comfort working with structured content systems, APIs, or technical platforms (experience with XML, DITA, or CCMS tools is a plus)
• Ability to work independently in ambiguous environments and take ownership of projects
• A builder's instinct — you ship rough versions, gather real feedback, and use AI and automation to get more shots on goal

Nice To Haves

• Interest in healthcare, life sciences, or regulated environments (preferred but not required)
• Open-source contributions, side projects, or a portfolio that shows how you think and build
• Active in technical writing, content design, or AI-for-content communities — you stay close to where the field is moving
• Experience contributing to documentation in regulated industries, where rigor matters as much as clarity

Responsibilities

• Contribute to automated publication pipelines that pull from engineering systems and assemble release-ready content, applying principles of collaborative automation
• Prototype LLM-powered authoring assistants — tagging, classification, content quality checks — integrated directly with our content management system's API
• Design metadata structures that scale with our regulatory footprint and make our content legible to AI agents — the prerequisite for the in-product AI experiences our customers will increasingly rely on
• Decompose composite documentation into modular building blocks that automated pipelines and AI agents can assemble reliably using modern tooling to accelerate the analysis without losing editorial judgment
• Apply WCAG-aligned authoring practices to bring documentation into compliance — including validating AI-generated alt text with the editorial eye to know when the model got it wrong
• Partner with product, engineering, and customer-facing teams to ground content decisions in real user workflows
• Audit and propose a library structure that's navigable for humans and dependable for automated pipelines
• Help build high-leverage assets — in-app guidance, role-based learning paths, AI-consumable content — assembled from the modular building blocks you're creating

Benefits

• Competitive pay
• Savings options
• Schedule options
• Insurance options

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed