AI Scholarship Database Engineer

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TYPE OF WORK

Any

SALARY

$4/month

HOURS PER WEEK

10

DATE UPDATED

Jul 31, 2026

JOB OVERVIEW

Right now, we manually help college women find scholarships researching opportunities, writing essays, building funding plans. That's personal and high-touch, which works, but it doesn't scale. This role is about building the engine that automates the matching piece so more students can benefit without us having to handhold every single one.

What the system does:

Scrapes & structures scholarship data from all over the web (websites, PDFs, institutional databases) keeps everything current and updated Matches students intelligently instead of just keyword search, it uses AI/LLMs to understand a student's full profile (major, demographics, interests, essays) and surface the scholarships they're genuinely competitive for
Learns over time every time a student applies, wins, or tells us something wasn't relevant, the system gets smarter about the next recommendations Exposes it all via APIs so we can build a frontend app, website integration, or even a chatbot interface later Why it matters for our students: Less time hunting, more time applying. Less overwhelm, more clarity which is exactly our "slow progress" philosophy in action.

Why it matters for us: Scalability. Instead of one student at a time, this lets us serve hundreds (eventually thousands) of ambitious college women with personalized funding insights.

You're looking for someone who lives at the intersection of data engineering (pipelines, databases, Python, cloud) and AI/ML (LLMs, embeddings, recommendation systems) a builder who can take a greenfield project and make smart architectural decisions from day one.

SKILL REQUIREMENT
IT Software Development Project Manager Database Management
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