Question about my AI resume screener ghosting qualified applicants

I built a simple AI tool to screen resumes for my small team in Austin, and last week I found out it was filtering out people with non-traditional job titles. Like it rejected a guy with 8 years of project management experience because his title said "operations ninja" instead of "project manager." How do you balance keyword matching against missing out on solid candidates who just use different words for their work?

3 comments

3 Comments

jenny_coleman1mo ago

Yeah I read this thing about how some companies are switching to just manually reviewing the first 50 apps instead of using AI filters. They said they found way more good candidates that way because the keywords thing misses a lot of people who just describe their job differently.

umamartin1mo ago

Manually reviewing is just slower and still misses people if you don't know what you're looking for.

rowan72517d ago

Oh man, that's actually a really good point. The keyword thing is so broken because people use totally normal words for the same job. Like a "customer support rep" and a "client services specialist" could be doing the exact same thing. Manually going through apps sounds brutal for a big company but it probably catches way more good people. I bet smaller teams that do this end up with much better hires overall.