DOI Integration & Metadata Automation Engineer

We're looking for a detail-oriented engineer to automate DOI assignment and academic metadata embedding across all Faculti video content. Your role is to systematize the process using our existing Prisma-based production sheets, ensuring every video is registered with a Crossref DOI and enriched with both human-readable and machine-readable metadata.

You will:

Connect our Prisma production sheet workflow with DOI assignment APIs.

Auto-generate citation blocks (APA/MLA) and inject into video pages.

Dynamically insert structured metadata (schema.org, Dublin Core, citation meta tags) into using Next.js.

Build a "Meta Panel" beneath each video with citation tools, ORCID integration, transcript download, and metadata preview.

Ensure all pages are indexable by Google Scholar and library crawlers.

Guarantee SEO, institutional discoverability, and academic compliance at scale.

The goal: transform Faculti interviews into formally recognized, citable academic outputs — programmatically and permanently.