AI Data Annotation Part-Time Job Scam: The Trap of Collecting Deposits and Training Fees Under the Guise of High-Paying Part-Time Work

Who Gets Targeted

Victims are highly concentrated among college students, full-time stay-at-home mothers, freshly graduated job seekers, and low-income flexible workers, many of whom lack social experience and stable sources of income. Filled with boundless imagination for the emerging AI industry and desperately eager to achieve financial freedom or supplement household incomes through 'zero-basis, low-threshold' part-time work, they easily lose rational judgment due to promotional copy promising 'monthly earnings exceeding ten thousand yuan' and 'easy money.' Scam artists exploit their eagerness for jobs, weak defenses, and information gaps regarding AI technology to manufacture anxiety over substandard skills, ultimately inducing them to sign high-interest 'training loans' or directly pay hefty deposits, saddling them with heavy debt burdens and psychological shackles.

骗局怎么运作

• Publishing highly seductive high-paying part-time job advertisements: Fraud rings widely post recruitment information for 'AI Data Annotator' and 'AI Trainer' positions across major recruitment websites, short-video platforms, and social communities. Deliberately emphasizing 'no educational background or experience required,' 'only two to three hours a day,' and 'earning over ten thousand yuan a month using a smartphone at home,' they precisely filter and attract vulnerable job seekers lacking discernment to actively submit resumes and contact customer service.
• Qualification screening that is a mere formality and rapid interview progression: After submitting resumes, applicants are often replied to within seconds and scheduled for online interviews. Interviewers barely assess actual capabilities, instead deliberately demeaning their current skills by declaring, 'Your current level cannot take on orders,' and subsequently quickly offering a 'solution,' smoothly steering the recruitment process into the paid training stage.
• Manufacturing skill anxiety and inducing high training fee payments: Under the pretext of 'substandard skills,' applicants are required to pay 'pre-job training fees,' 'software activation fees,' or 'badge deposits' ranging from thousands to over ten thousand yuan. They promise 'guaranteed order dispatch' and 'guaranteed minimum monthly earnings of ten thousand yuan' after training. If victims are unable to pay in a lump sum, scammers induce them to sign installment loan contracts through third-party financial institutions, saddling them with heavy 'training loans.'
• Providing inferior online courses and token order dispatch: The training phase only provides cheap, pre-recorded lectures found everywhere online or poorly cobbled-together documents, holding zero substantive value. After training concludes, either no orders are dispatched at all, or only token tasks with extremely low unit prices of a few cents are issued. When victims discover that their earnings severely disconnect from promises and demand refunds, scammers refuse refunds using excuses such as 'courses have already been accessed' or 'breach of contract due to personal incompetence,' or even directly cut off contact.
• Closed-loop assembly line operations of black market industries and fund transfers: Behind-the-scenes syndicates often adopt an assembly-line operational model separating corporate legal representatives from actual controllers, featuring frontend traffic acquisition, mid-end script conversion, and backend financial loot-splitting. The implicated companies frequently change industrial and commercial information to evade crackdowns, and illegally collected training fees are rapidly transferred to multi-tier personal accounts, forming a complete illicit interest chain.

红旗信号（看到这些快跑）

• 🚩 Job descriptions are extremely exaggerated and lack specific project details: Part-time advertisements are filled with absolute, exaggerated income expressions such as 'easily earn over ten thousand yuan a month' and 'zero-basis required,' yet never mention real data sources, annotation project cycles, or specific acceptance and settlement standards.
• 🚩 Paid employment or forced loan schemes: Before employment, demands are made under various pretexts to pay training fees, deposits, or software fees, and applicants are even proactively induced to open installment loans through specific QR code scans or facial recognition, with scripts commonly packaged as 'study now, pay later' or 'tuition installment reductions/waivers.'
• 🚩 Absence of labor contracts or coexistence of dual-tone clauses: Refusal to sign formal employment contracts or labor agreements, providing only unilateral 'training agreements' or boilerplate contracts containing a massive amount of overbearing and unreasonable restrictive clauses such as 'no refunds once courses begin' and 'no refunds due to personal reasons.'
• 🚩 Assigned tasks are extremely cheap and lack continuous guarantees: Real, experiential annotation task interfaces cannot be provided before payment, and after payment, only outdated, shoddily made pre-recorded lectures are given, while promised guaranteed task quotas fail to materialize and customer service replies are perfunctory or directly block users.
• 🚩 Company qualifications are questionable and frequently changed to evade filing: The recruiting company's name is unfamiliar and frequently changes its legal representative and business address; business scopes often lack qualifications related to 'data processing' or 'human resource services,' and personal social media accounts are even used for whole-process communication.

真实案例

• In May 2024, police in Qingpu District, Shanghai, cracked a major online training fraud case across the entire chain. Operating under the guise of providing 'high-paying part-time work,' the syndicate induced victims to pay thousands of yuan in training fees, carrying out fraud through a series of scripts and a division of labor. Ultimately, multiple criminal suspects were criminally detained according to law, involving huge sums of money (reported by China Education Online National College Student Employment and Entrepreneurship One-Stop Service Platform).
• In January 2026, Chengdu police reported cracking a case of fabricating high-paying positions to lure and extract training fees, taking coercive criminal detention measures against 8 implicated individuals. Using 'high-paying part-time work' as bait, the syndicate targeted job seekers to collect training fees ranging from thousands to over ten thousand yuan, while actually arranging only minimal tasks or no tasks at all (reported by CCTV.com).
• In November 2025, according to Tencent News reports, a job seeker trusted a 'high-paying part-time job' advertisement. After 10 days of part-time work, not only did they fail to make money, but they were also induced under various pretexts into shouldering over 2,000 yuan in training fee debt. The scam led victims on step-by-step, leaving them with neither money nor results (Tencent News independent investigative report).
• Shanghai police dismantled an inter-provincial online part-time job fraud den involving over 25 million yuan, targeting 'stay-at-home mothers' and college student groups. Victims were trapped layer by layer through assembly-line division of labor, starting with small commissions to gain trust, then inducing increased investment or training fee payments, ultimately leaving victims financially devastated (republished by NetEase News and multiple other media outlets).

Official Stance

• In May 2026, the Ministry of Human Resources and Social Security, the Office of the Central Cyberspace Affairs Commission, the Ministry of Education, the Ministry of Public Security, and the National Financial Regulatory Administration jointly issued a risk alert warning against scams such as 'recruitment-to-training' and 'training loans.' Job seekers were reminded to refuse the payment of deposits and training fees, and to maintain high vigilance regarding high-paying part-time jobs (published by Xinhua News Agency and the official website of the Beijing Municipal Office for Preventing and Combating Illegal Financial Activities).
• In April 2026, the Office of the Financial Committee of the CPC Hunan Provincial Committee issued an anti-fraud warning: 'Guaranteed High Pay and Employment? Don't Fall into the Training Loan Trap,' reminding the broad masses of job seekers to be vigilant against a novel scam model that promises guaranteed high pay and employment to induce the opening of installment loans.
• In November 2024, the Wuxi government official website republished public security department prevention alerts, reminding people to watch out for 'high-paying recruitment' interview and training scams, explicitly pointing out that acts of collecting training fees from job seekers under the lure of high-paying part-time work involve suspected illegal crimes, and urging the public to raise their anti-fraud awareness.
• On August 1, 2025, China Consumer News published an article warning that 'high-paying part-time jobs' harbor 'training loan' traps, calling on job seekers, especially college students and stay-at-home mothers, to carefully vet recruitment information and never engage in any form of payment operations before understanding real projects.

How to Protect Yourself

• ✅ Multiple verification of employer qualifications and background: Compare the recruiting company's registration information, business scope, and operating status through the National Enterprise Credit Information Publicity System, and check paid-in capital, insured headcount, and legal representative change records. Focus on checking whether it possesses qualifications related to data processing or human resource services, and maintain high vigilance against companies with no paid-in capital, frequently changing legal representatives, or newly registered statuses.
• ✅ Resolutely refuse any form of upfront fee collections: Formal part-time work or labor employment will never collect deposits, training fees, or equipment fees from annotators before dispatching tasks. Anything demanding 'pay first, work later' or 'pay first to unlock high-paying tasks' must be decisively refused with screenshots retained as evidence.
• ✅ Beware of 'training loans' and installment loan financial traps: Do not sign installment loan contracts or use facial recognition to open any financial products without clearly understanding contract terms. Absolutely do not click on unknown links or scan unfamiliar QR codes to fill in sensitive personal bank card information. If a contract has already been signed, immediately file a complaint with market regulation or financial regulatory departments.
• ✅ Review training content and contract refund mechanisms: Before making payments, always demand that the other party provide real trial tasks or preview courses to confirm they possess genuine order-dispatch capabilities. Carefully review refund terms when signing contracts, resolutely demand modifications to overbearing clauses such as 'no refunds whatsoever,' and retain communication records, contracts, and other rights-protection evidence.
• ✅ Report promptly and protect rights through multiple channels when defrauded: Once you discover you have been scammed or caught in a malicious loan contract, immediately stop payments and preserve materials such as chat logs, transfer vouchers, and contract agreements. Report the case to local public security authorities at the earliest opportunity, and file complaints and reports with the 12315 platform.