Experienced Recruiter or Talent Sourcer Needed for Paid Research

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.

We are researching how recruiters evaluate resumes, cover letters, and application answers, particularly 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