Product QA, Document Intelligence & UX Testing Intern | AI / PropTech (Unpaid)

KeyPath is developing an AI-powered PropTech/FinTech platform serving landlords, tenants, investors, and community stakeholders.
A major component of the platform is designed to make onboarding nearly zero-typing by allowing users to upload documents, spreadsheets, images, and other files that KeyPath can process, normalize, verify, and convert into structured data and insights.
Position Overview

KeyPath is seeking an Product QA, Document Intelligence & UX Testing Intern to systematically test the platform and help improve product reliability, data accuracy, and user experience.

This role is ideal for a student interested in AI, product management, technology, data, or UX who wants hands-on experience testing an emerging software platform.
The intern will behave like a combination of a product analyst, QA tester, and user advocate.
Responsibilities
Test KeyPath's document upload and data extraction workflows.
Test sample leases, rent rolls, property tax documents, utility bills, spreadsheets, images, and other supported document types.
Compare extracted information against source documents to measure accuracy.
Identify incorrect, missing, inconsistent, or low-confidence data.
Document product bugs using reproducible test cases.
Test onboarding and dashboard workflows on desktop and mobile.
Identify confusing user experiences, unclear instructions, unnecessary clicks, and incomplete states.
Test loading, error, empty, restricted-access, and partial-data states.
Maintain a structured QA issue tracker.
Classify issues by severity, frequency, and user impact.
Work with the product and engineering teams to reproduce bugs.
Retest fixes and document whether issues have been successfully resolved.
Help create standardized product acceptance tests.
Conduct usability tests with sample users.
Analyze whether users understand KeyPath terminology, workflows, dashboards, and agreements.
Recommend product improvements based on observed behavior rather than assumptions.
Example Semester Projects
The intern may help measure:
Percentage of documents classified correctly.
Accuracy of rent, lease dates, names, addresses, and other extracted fields.
Number of manual corrections required during onboarding.
Average time required to complete onboarding.
Most common user errors.
Most common extraction failures.
Most confusing screens or instructions.
Product defects that create the greatest potential operational or user risk.
Ideal Candidate
We are particularly interested in students studying:
Computer Science
Information Systems
Data Science
Business Analytics
Human-Computer Interaction
UX/UI
Product Management
Engineering
Business
Coding experience is helpful but not required.
Strong candidates are highly detail-oriented and enjoy finding problems, understanding why they occur, and documenting them clearly.
What You Will Gain
Practical experience testing an AI-enabled technology platform.
Exposure to OCR, document intelligence, structured data extraction, and AI workflows.
Product management and quality assurance experience.
Experience working with software engineers and product teams.
Understanding of how startups move products from MVP toward production readiness.
Portfolio-quality examples of structured product testing and UX analysis.
Compensation
This is an unpaid internship. Students may pursue academic credit through their university where permitted and applicable.