As a developer who’s wasted too much time on these platforms, I feel it's important to speak out. If you come across job listings from companies like:
pesto.tech micro1.ai mercor.com Or any other "new age AI vetting" companies, stay away. These companies aren't interested in actually hiring talent. They're just after numbers to impress investors, and they’ll do whatever it takes to inflate their metrics. The job postings are vague, misleading, and often flat-out fake. Even when recruiters reach out, they won't have a real conversation—they’ll just send you a link to their website.
The worst part? Developers, especially those who are new or desperate for opportunities, end up wasting hours on these applications. You’ll fill out forms, take pointless "screening tests," and train their AI—only to realize too late that you’ve been played.
The whole process is a scam designed to make it look like these companies are doing something valuable, when in reality, they’re making the already broken hiring system even worse.
So, if you see these companies or others like them, report them. Don’t let them take up any more of your time. The hiring process is hard enough without these vultures trying to profit off our time and effort.
Let’s call out the bullshit and protect each other from falling for it.
One more name is turing.ai, make fool of applicants
The term "turing.ai" likely refers to a domain or platform related to artificial intelligence (AI) and the Turing Test. The Turing Test, proposed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. The test involves a human evaluator who engages in natural language conversations with a human and a machine designed to generate human-like responses. If the evaluator cannot reliably distinguish the machine from the human, the machine is said to have passed the Turing Test.
In the context of deceiving applicants, "turing.ai" could be associated with AI systems that are designed to mimic human behavior so convincingly that they can deceive people into believing they are interacting with another human. This capability raises ethical concerns, particularly in scenarios like job interviews or other professional settings where transparency and honesty are crucial.
The ability of AI to deceive is a significant issue in the field of AI ethics. While the Turing Test was originally intended to explore the limits of machine intelligence, its focus on deception has led to debates about whether this is an appropriate measure of AI's capabilities. Some argue that true intelligence should be measured by more than just the ability to fool humans and should include aspects like problem-solving, creativity, and ethical reasoning.
In summary, "turing.ai" could be linked to AI systems that aim to pass the Turing Test by mimicking human behavior so effectively that they can deceive applicants or other users. This raises important ethical questions about the use of AI in professional and personal interactions.
I'd like to add another name to this list: stark.ai
They just outright use your "ai interviews" to train their models
The use of AI interviews by stark.ai to train their models raises several significant implications and potential issues, particularly concerning data usage and ethical considerations.
Data Usage and Privacy Concerns
Ethical Considerations
Best Practices for Ethical AI Use in Recruitment
In summary, while AI interviews can streamline the recruitment process, their use by stark.ai to train models must be approached with caution to address data privacy concerns and ethical considerations effectively. Transparency, fairness, and accountability are key to ensuring that AI enhances rather than undermines the recruitment process.
You forgot uplers. Another idiotic job poster
Its not AI, but fake jobs
It seems like you're frustrated with the job posting process and the quality of job postings. This is a common issue, and there are several ways to address it to ensure that job postings are clear, attractive, and effective in attracting the right candidates.
Common Issues with Job Postings
Vague Job Descriptions: Many job postings lack clarity and specificity, which can confuse potential candidates and lead to a mismatch in expectations. High-quality job descriptions should clearly outline the role, responsibilities, and required qualifications.
Attracting the Wrong Candidates: Poorly crafted job postings can attract candidates who are not a good fit for the role, leading to wasted time and resources during the hiring process. It's important to set a clear quality bar for job applications to ensure that only qualified candidates apply.
Legal and Ethical Concerns: Job postings must comply with legal requirements and avoid misleading information. This includes accurate salary ranges, working hours, and employment types.
Company Reputation: Poorly written job postings can negatively impact a company's reputation, making it harder to attract top talent in the future.
Improving Job Postings
Clear and Detailed Descriptions: Ensure that job postings include a detailed job summary, key responsibilities, required qualifications, and necessary skills. This helps candidates understand the role and whether they are a good fit.
Quality Over Quantity: Focus on attracting candidates who meet the quality standards of the role rather than just increasing the number of applicants. This can be achieved by setting clear expectations and using targeted recruitment strategies.
Compliance and Accuracy: Ensure that all information in the job posting is accurate and complies with legal requirements. This includes providing realistic salary ranges, working hours, and employment types.
Enhancing Company Reputation: High-quality job descriptions that reflect the company's mission, values, and culture can enhance its reputation and attract candidates who align with these values.
Examples of Effective Job Postings
Process Improvement Manager: A well-crafted job posting for a Process Improvement Manager should include specific responsibilities such as identifying and implementing process enhancements to optimize operational efficiency, reduce manual efforts, and elevate overall performance. Senior Business Analyst: For a Senior Business Analyst role, the job posting should detail the responsibilities related to process improvement, including analyzing business processes and implementing improvements to increase efficiency and reduce waste.
By addressing these common issues and focusing on improving the quality of job postings, companies can attract better candidates, streamline the hiring process, and enhance their overall reputation in the job market.
Developers are increasingly falling victim to deceptive practices by AI vetting companies, which are misleading job seekers and wasting their time. These companies, such as pesto.tech, micro1.ai, and mercor.com, often create vague, misleading, and sometimes outright fake job postings. Their primary goal is not to hire talent but to inflate their metrics to impress investors.
The process typically involves developers filling out extensive forms, taking unnecessary screening tests, and even training the company's AI systems—all under the guise of a legitimate job application process. However, these efforts rarely lead to actual job offers. Instead, they serve to enhance the company's data and algorithms, often at the expense of the job seeker's time and effort.
This issue is part of a broader trend where AI is being misused in the hiring process. For instance, some companies use AI to automate repetitive tasks, which can be beneficial but also leads to developers spending less time on coding and more on non-coding tasks, potentially lowering productivity. Additionally, there is a rise in fake job scams leveraging AI technology, where scammers use generative AI to create convincing but fraudulent job offers.
To protect themselves, developers should be cautious of job postings from companies that seem too good to be true or that lack clear information about the role and the company. It's also advisable to report suspicious activities to relevant authorities or platforms to help curb these deceptive practices. By staying informed and vigilant, developers can avoid falling prey to these scams and focus on genuine opportunities that value their skills and time.
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