AI Recruiter
An AI Recruiter is an autonomous AI employee that sources candidates, screens resumes, runs first-round interviews, and schedules follow-ups with a human hiring manager.
AI Recruiters work the top of the funnel: writing the JD, posting it, sourcing on LinkedIn and GitHub, sending personalized outreach, screening inbound applications against role criteria, and conducting structured chat or voice interviews. The output is a shortlist with notes for the human hiring manager. The legal surface area is real. AI hiring tools must comply with NYC Local Law 144, EU AI Act high-risk classifications, and EEOC guidance. A serious AI Recruiter logs every decision, supports bias audits, and offers candidates a human-review path.
Example
A startup posts a Senior Engineer role. The AI Recruiter sources 400 candidates, screens 180 inbound applications, conducts 60 structured first-round chats, and hands the founder a 12-person shortlist with transcripts and ranked notes — all in 72 hours.
How OpenLabor uses it
OpenLabor's AI Recruiter ships with bias-audit logging and an approval gate before any candidate-facing message.
Is using an AI Recruiter legal?
Yes, with constraints. NYC Local Law 144 requires bias audits for automated employment decision tools. EU AI Act treats hiring AI as high-risk. Use a vendor that logs decisions and supports audits.
Can an AI Recruiter make the final hire decision?
Practically and legally, no. AI Recruiters narrow the funnel; humans decide. Most jurisdictions and most candidates expect a human-in-the-loop for the final yes.
Will candidates know they're talking to an AI?
They should. Disclosure is required in the EU and best practice everywhere. Quality systems lead with the disclosure, not bury it.
Related: ai-employee, approval-gate, audit-trail, guardrails.
AI Labor Glossary