Data Annotation Jobs: Scam or Legit? A Honest Review of

Data annotation is the process of labeling data to make it easier for machines to understand. It’s a crucial step in building artificial intelligence and machine-learning applications. But is data annotation a legit way to make money online? Or is it a scam that will waste your time and effort?

data annotation

In this blog post, I’ll review one of the most popular data annotation platforms,, and tell you everything you need to know before you sign up. I’ll also share some tips on how to become a successful data annotator and avoid common pitfalls.

What is is a platform that connects data annotators with clients who need their data labeled. claims to offer a variety of projects, such as image annotation, text annotation, audio annotation, video annotation, and more. also claims to pay well, with rates ranging from $15 to $30 per hour, depending on the project and the quality of your work.

It sounds too good to be true, right? Well, there’s a catch. is not a platform that anyone can join. You have to pass a series of assessments to prove your skills and qualify for the projects. And even if you pass the assessments, there’s no guarantee that you’ll get any work. has a limited number of projects and a large number of applicants, so the competition is fierce.

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Is a scam?

The short answer is no, is not a scam. It’s a legitimate platform that does pay its data annotators for their work. However, that doesn’t mean that is a good option for everyone. There are some drawbacks and risks that you should be aware of before you decide to join

The pros of

  • offers a flexible and convenient way to make money online. You can work from anywhere, anytime, and on any device. You can also choose the projects that interest you and suit your skills.
  • pays well, compared to other data annotation platforms. The average pay rate is $20 per hour, which is higher than the minimum wage in most countries. also pays on time, every week, via PayPal or bank transfer.
  • provides training and feedback to help you improve your skills and performance. You can access tutorials, guides, and examples for each project. You can also get feedback from the quality assurance team and the clients on your work.

The cons of

  • is hard to get into. You have to pass multiple assessments to qualify for the projects. The assessments are not easy, and they require a lot of time and attention. Some of the assessments are also subjective, and you may not agree with the grading criteria.
  • is not consistent. You may not get enough work to make a stable income. The availability of projects depends on the demand from the clients, which can vary from week to week. You may also lose access to the projects if your quality score drops below a certain threshold.
  • is not transparent. You may not know why you were rejected, banned, or removed from the projects. does not provide clear communication or support to its data annotators. You may not get a response to your queries, complaints, or appeals.
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How to succeed with

If you still want to give a try, here are some tips on how to increase your chances of success and avoid frustration.

  • Prepare well for the assessments:

  • Review the instructions, examples, and guidelines for each project. Practice on similar data sets and check your accuracy. Take your time, and don’t rush through the questions.
  • Be selective with the projects:

  • Choose the projects that match your skills, interests, and availability. Don’t take on too many projects at once, or you may compromise your quality and speed. Focus on the projects that pay well and have high demand.
  • Follow the rules and standards:

  • Adhere to the specifications and requirements of each project. Don’t use any shortcuts, tools, or scripts that are not allowed. Don’t copy or plagiarize any data from other sources. Don’t share any confidential or sensitive information with anyone.
  • Check your work and fix your errors.

  • Review your work before you submit it. Use the validation and correction tools provided by Fix any mistakes or inconsistencies that you find. Learn from your feedback and improve your skills.


Q: How do I sign up for

A: To sign up for, you have to fill out a registration form on their website. You have to provide your name, email, country, and preferred language. You also have to agree to their terms and conditions and privacy policy.

Q: How long does it take to get approved by

A: It depends on the number of applicants and the availability of projects. Some applicants may get approved within a few days, while others may have to wait for weeks or months. There’s no guarantee that you’ll get approved at all.

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Q: How much can I make with

A: It depends on the number of projects, the pay rate, and the quality of your work. The average pay rate is $20 per hour, but it can vary from $15 to $30 per hour, depending on the project and the client. The more projects you complete and the higher your quality score, the more you can make.

Q: How do I get paid by

A: pays its data annotators every week, via PayPal or bank transfer. You have to reach a minimum threshold of $50 to request a payment. You also have to provide your tax information and invoice details to get paid.

Q: How do I contact

A: does not have a phone number or a live chat option. The only way to contact is by email. You can send your queries, complaints, or feedback to [email protected]. However, you may not get a reply or a resolution to your issue.


Data annotation is a legitimate way to make money online, but it’s not for everyone. is one of the most popular data annotation platforms, but it has its pros and cons. You have to weigh the benefits and risks before you decide to join

If you’re looking for a flexible, convenient, and well-paying online job, may be a good option for you. But if you’re looking for a consistent, reliable, and transparent online job, may not be the best option for you.

The choice is yours. But whatever you choose, make sure you do your research, follow the rules, and work hard. Good luck!

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