How to Tell If a Job Candidate Is Real and Actually Qualified
If you’ve ever been in the hiring seat, you’ve probably run into a candidate who was not quite who they claimed to be. Maybe the resume looked perfect, and the interview did not add up. Maybe the profile felt off, and you couldn’t quite nail down why. Maybe you got them all the way to an offer just to realize they weren’t the candidate you thought. It costs you time, money, and trust every time it happens.
The good news is that most of it is catchable early, well before an offer goes out. Here is what our recruiters look for to confirm a person is real and can actually do the job.
Why candidate fraud is worse than it used to be
You are not imagining it, and you are not being paranoid. The volume of applications has exploded, and the cost of faking one has dropped to almost nothing.
Over the past 3 years, applications per recruiter have increased 412 percent across their job postings, and applications per role have increased 111 percent (Greenhouse).
39 percent of candidates now use AI somewhere in the application process (Gartner).
Among job seekers who use AI, 83 percent admit to using it to exaggerate or lie about their skills (Capterra).
Remote roles receive roughly ten times more fraudulent applications than in-person roles (Huntress).
There are more applications, less time to review each one, and a low cost to fake one. Gartner predicts that by 2028, one in four candidate profiles worldwide will be fake.
So what do hiring managers need to know?
They need to know what to check for.
How to tell if a LinkedIn profile is fake
Start with the profile itself. The fastest tells are a mismatch between how old the account is and how connected it is, a missing verification badge, and contact details that do not line up with where the person says they live.* None of these is proof on its own. Each one is a reason to look closer.
*Find this information on the profile under “More” -> “About This Member”Here is the quick screen:
Profile age versus connection count. An account that has been live for years with under 100 connections is unusual. It is hard to get several years into a career without more connections than that. When the two do not match, the account may be newer than it looks.
Verification badge. LinkedIn verification takes about 15 minutes and requires an ID scan. Its absence is not a disqualification, but its presence is a quick point in the real column.
Contact info gut check. Does the email match the person's name? Does the area code match the location they list? Small mismatches are worth a question.
"United States" as the only location. Usually this just signals someone open to remote work anywhere in the country. Worth a second look, not a strike.
Three or four big-name brands in a row. Sometimes real. Sometimes added to surface in searches. Worth a double-take.
No recommendations or endorsements. A little odd on its own, more so in combination with the signals above.
Meet in person. This is the clearest way to ensure someone is real if you can make it happen.
***Caveat: Every one of these has an explanation. Candidates in trade careers and privacy-conscious candidates often run thin profiles. Someone may have moved states last month. Treat these as prompts to look closer, not reasons to disqualify.How to confirm a candidate is who they say they are
Once a profile passes a first look, verify the person behind it. A few minutes of searching and one video call will tell you most of what you need.
Local network depth. This is where a firm that knows a market has an edge. In Chattanooga and across the Southeast, it is rare that we cannot reach a candidate through a second or third-degree connection. When you can trace a person through people you know, most doubt disappears.
Google search and reverse image search. Search the name, then run the profile photo through Google Images. A photo that shows up across unrelated accounts is a flag. A person with no footprint at all is a softer one, and fine in some cases.
Mutual connections. Shared connections are both a warm intro and a verification layer. If someone you trust is connected to them, that is a real signal.
A video call for the first conversation. Actually seeing someone builds trust in both directions. Remember that good candidates likely have been burned too, so the call is your chance to prove you are real to them as well.
A light location check. Mentioning a client or a neighborhood in their stated area and seeing whether the geography lands is a simple, respectful way to confirm someone is where they say they are.
How to check whether the resume matches the real experience
Real is only half the question. The other half is whether they can do the work. This is where you listen for fluency rather than keywords.
Weight the most recent experience most. Look at the trajectory of the career, not just the logos. Someone growing fast at a mid-tier company can be a stronger bet than someone coasting at a famous one.
Listen for congruence. Are they speaking naturally about their work, or reading their own resume back to you? People do not always keep LinkedIn current, so a gap there is normal. What you want is a story that holds together when they talk through it.
Understand how the organization (the one the candidate currently works for) actually works. Titles do not always map to reality. Knowing how their company is actually structured lets you ask the question that gets a real answer.
What to do when the resume and LinkedIn do not match
Treat a mismatch as a beige flag - something to check, not automatically disqualify. Ask about dates and timelines that don’t match directly and get an answer you can explain to a hiring manager, or to yourself, before you move anyone forward.
We have had candidates explain a discrepancy by saying the AI hallucinated it. That can be honest. AI does make things up. It is still fair to ask them to correct it, because a resume you are putting your name behind needs to be accurate.
When to bring up background checks and drug screens
Bring it up early, before the offer. Most background checks and drug screens only run once an offer is accepted, which means a surprise at that stage costs everyone weeks. A short, direct heads-up at the start protects both you and the candidate.
Let them know a background check and drug screen are part of the process and the offer will be contingent on them. Tell them plainly that you would rather know now than have anyone blindsided later, and that many clients, told up front, will still move forward. That gives an honest person the chance to get ahead of something small, and most people meet honesty with honesty.
None of this is about calling people out. It is about protecting everyone’s time and treating candidates like professionals on the way in. No process is perfect. You will not catch every fake, and you will occasionally look twice at someone who turns out to be exactly who they say they are. Leading with these checks still beats finding out after the offer is on the table.
FAQs
Is a brand-new LinkedIn profile a red flag?
Not by itself. New graduates, blue-collar workers, and privacy-conscious people all run thin or recent profiles. It becomes a flag when a profile claims a long career but shows a recent creation date or very few connections. Treat it as a reason to verify.
Can you tell if a resume was written by AI?
You often cannot tell from the document alone. AI-written resumes read as polished and keyword-aligned. The tell shows up in conversation, when a candidate cannot speak with depth about work their resume claims. Weight the live conversation over the paper. And yes, you can often use AI to detect if the resume was AI-generated.
What should you do if a candidate's resume and LinkedIn dates do not match?
Ask about it directly before moving forward. Mismatched dates are common and often innocent, since people forget to update LinkedIn. You want an explanation that holds together.
Are remote candidates more likely to be fake?
The data says yes. Remote roles draw roughly 10x more fraudulent applications than in-person roles, according to Huntress. This simply means remote searches deserve tighter verification early.