A Chinese podcast · Same story, 4 levels

自己还在找工作,他已帮领英撤下近六万个假职位
Laid Off and Still Job Hunting, He Has Helped Pull Nearly 60,000 Fake Jobs Off LinkedIn
About this story
Jay Jones, a Chicago-area copywriter laid off in late 2023, calls himself The Profiler. While still looking for work, he has tracked nearly 60,000 fake job listings and flagged about 7,000 scam profiles — like five "Linda Anthony" recruiters sharing one photo, which vanished once he posted about them. He explains how scammers sell résumé help, harvest driver's licenses and Social Security numbers, and hijack forgotten verified LinkedIn accounts, and why LinkedIn's 14-day appeal window made him furious. Chinese listening practice at four levels. HSK 5-6 Chinese listening practice.
This is an HSK 5-6 Chinese listening episode that runs about 6 minutes. The full Mandarin script is shown with tap-for-pinyin and a line-by-line English translation, so you can listen and read at once — comprehensible input in the sense of Stephen Krashen's i+1 theory. It teaches 12 key vocabulary words such as 信任、公平、平台 and walks through 3 grammar patterns, each explained in English with examples. The same news story is retold at 4 difficulty levels — use the level selector above to find the version that is challenging but still understandable for you.
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原文Read the complete story in Chinese. Reveal pinyin and English only when you need them.
English transcript reference
A smiling woman wants to hire you.
Her name is Linda Anthony, and her title on LinkedIn is contract recruiter.
But a man named Jay Jones is convinced she's a bot account trying to scam you.
Jay says he first saw her one night just after midnight.
Her company was called "Confidential Jobs", based in a small town in Georgia.
He soon found her "clone": another Linda Anthony, same company, this time in California.
Then three more popped up.
The five accounts used the same photo, had all been created recently, and their profile links ended in the same string of letters and numbers.
To Jay, that was proof they had been made in bulk.
If these smiling faces sent out mass messages, job seekers' hard-earned savings — even their identities — could be stolen.
For Jay, it was just another Tuesday.
He lives near Chicago, calls himself "The Profiler", and spends hours every day wading through this online sludge.
He's an out-of-work copywriter who is job-hunting himself, while also hunting down the scams that target job seekers.
By his count, he has tracked nearly 60,000 fake jobs and helped get them pulled from the internet, most on LinkedIn and some on the job site Teal.
Often working into the early hours, he has reported about 7,000 scam accounts, many of them funneling job seekers to those fake jobs.
He says: it's like rabbit hole after rabbit hole.
Between all this, he also drives for a ride-hailing app to earn money.
American job seekers are increasingly frustrated with recruitment fraud, and increasingly desperate.
In August, people unemployed for more than six months made up 27% of all the unemployed — near the highest level in over a decade, outside the pandemic years.
LinkedIn says its AI systems clear out almost all scams before members — or Jay — ever see them.
The company says that in the second half of 2025 alone, nearly 90 million fake accounts were stopped before going live.
This summer, LinkedIn also teamed up with the FBI to teach job seekers how to spot scams.
Jay says bot accounts like Linda Anthony use AI to tailor roles to each person's profile, and can be copied without limit.
They'll tell you your résumé isn't up to par, but if you pay, they'll help you get an offer.
Other fake listings imitate real employers such as Hyundai Motor and Capital One.
Jay started down this path at the end of 2023, after he was laid off from advertising.
Right after he began job-hunting, he ran into a fake résumé writer much like Linda Anthony.
When they asked him to pay, he realized it was a scam and kept digging.
He says some fake recruiters also ask for a driver's license or Social Security number, then sell that data on.
Now, while he keeps looking for work, he trains cybersecurity professionals to spot scams and is seeking paid speaking engagements.
Grateful people online donate to him, and he sells apparel printed with slogans, one of which is: "I lay off scammers."
One of his scam-spotting tips: if someone's last name could also be a first name, take a second look.
After finding Linda Anthony, he also found "Olivia Parker" and "Jessica Bennett", both claiming to be recruiters at "Confidential".
A fake account's profile picture might be AI-generated, or a photo that's easy to grab, like one of a real-estate agent or an actor.
Once Jay posted about the Linda Anthonys publicly, the links quickly went dead.
He says: turn the lights on, and the roaches run.
Later he stumbled onto another scam, one that exploits people's trust in verified accounts.
Many users submitted ID to LinkedIn and got a "verified" badge, then forgot about their accounts.
Jay says that's a hacker's dream.
Scammers seize these verified accounts — whether the original owner was a teacher or an engineer — relist them as recruiters at real companies, and use that credibility to harvest job seekers' information.
One recently hijacked account originally belonged to a dentist in Chile.
This summer, he and a few others were suddenly listed as employees of a boutique recruiting firm in Colorado.
The firm's CEO, Kelley Barcus, was alarmed to see these new hires, because the firm is really just her.
She said: it's my brand, it's my reputation.
She asked Jay to help disconnect the accounts from her company page.
That wasn't easy.
LinkedIn accepted Jay's reports, but before removing the affiliation, the accounts had fourteen days to update their details or appeal.
LinkedIn says that in many cases, simply asking members to correct their own data resolves the problem.
Jay, though, was livid; he believed two weeks was plenty of time for scammers to con more people.
He said: scammers don't deserve fairness — it's economic terrorism.
LinkedIn's vice president of trust products said scammers adapt quickly to the platform's defenses, and fighting fraud is a battle with no end.
He added that verification offers extra context, but it isn't a guarantee.
Later this month, LinkedIn will roll out a feature letting verified employers instantly cut an unknown account's ties to their company.
Jay often has fifty tabs open on his computer at once, and his browser crashes several times a week.
He recently wrote online that he worries about the world his two young children will face, but one thing comforts him.
He said: when they grow up and hear what their dad did to make the world better, they'll know I meant it.
Do you think dealing with online recruitment scammers should mainly fall to the platforms, or do we also need ordinary people like Jay?
Listen again
Try it without the transcript and notice what sounds clearer.
What vocabulary does this episode teach?
词汇HSK 4. 利用的是大家对认证账号的信任.
HSK 4. 骗子不配得到公平 — Jay's line.
HSK 4. 骗子会很快适应平台的防御.
HSK 4. 据他统计 — "by his count", a careful attribution.
HSK 3. 利用的是大家对认证账号的信任.
HSK 3. 认证能提供更多背景信息,但不是保证.
招聘诈骗 — recruitment fraud.
批量制造的证据 — identical URLs meant mass-produced accounts.
最近一个被劫持的账号,原本属于智利的一位牙医.
模仿的是现代汽车、第一资本银行这样的真实雇主.
十四天时间更新资料或者申诉 — the window that angered Jay.
教求职者怎么识别骗局.
* beyond level超纲词
What grammar patterns appear in this episode?
语法一边……,一边……
Doing two things at the same time.
现在,他一边继续找工作,一边给网络安全从业者做培训,教他们识别骗局,也在争取付费演讲的机会。
不管……,都……
No matter X, still Y.
骗子夺走这些认证账号,不管原来的主人是老师还是工程师,都把自己改成真实公司的招聘人员,再用这份可信度去收集求职者的信息。
仅……就……
In X alone, already Y — stresses a large number.
公司说,仅在二零二五年下半年,就有将近九千万个假账号在上线前被拦下。
Proper Nouns
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