Technical Recruiter

About the project

We are looking for a current or recently active in-house recruiter or talent sourcer to participate in a short-term product research project. Our goal is to understand how recruiters evaluate resumes, cover letters, and application answers, especially as AI-assisted applications become more common. Your feedback will help us design tools that produce more useful, accurate, and recruiter-friendly candidate materials.

What you’ll help us understand

• What makes a recruiter advance, deprioritize, or reject an application
• Which resume changes improve relevance and which appear excessive or unnatural
• How recruiters evaluate cover letters and written application answers
• Which application questions commonly cause candidates to be rejected
• How candidate materials are parsed and presented inside major ATS platforms
• How recruiters use filtering, knockout questions, application-review criteria, candidate ranking, fraud signals, and AI-assisted screening
• What recruiters consider acceptable and unacceptable uses of AI in an application

What you’ll do

• Participate in two or three remote research sessions
• Review and compare sample resumes, cover letters, and application answers
• Explain how you review and prioritize inbound applicants
• Describe your application-review workflow inside the ATS platforms you have used
• Provide direct, practical feedback on product concepts and improvements

Ideal experience

• Currently working, or recently worked, as an in-house recruiter, talent sourcer, or talent acquisition professional
• At least two years of recruiting or sourcing experience
• Regularly reviewed inbound job applications
• Hands-on recruiter-side experience with Greenhouse, Workday, Ashby, or Lever
• Familiarity with resume parsing, knockout questions, auto-rejection rules, candidate scoring, AI-assisted review, or fraud signals is helpful

Agency recruiters

May be considered, but recent in-house recruiting experience is strongly preferred.

Project details

• Approximately 5–10 hours initially
• $40 per hour
• Flexible remote schedule
• Potential for additional research or advisory projects