Throughout this article, we will introduce you to a specific type of work that is rarely discussed but plays a crucial role in the development of artificial intelligence algorithms in the world’s largest technology companies: the crowdsourced data evaluator.
Crowdsourcing Data Evaluator
Crowdsourcing data evaluators are everyday individuals from various fields of knowledge who catalog and label data from various projects based on instructions provided by companies or clients, utilizing crowdsourcing. Crowdsourcing is a production or problem-solving model that involves obtaining contributions, services, or ideas from a large group of people.
There are several crowdsourcing platforms designed to engage a broad community of individuals, known as the “crowd,” to evaluate tasks from specific projects that require human judgment. While many tasks can be automated, many still demand the discernment and context that only humans can provide. For instance, a data evaluator might be asked to:
- Review search results;
- Categorize images;
- Validate audio transcriptions and much more.
These activities play a crucial role in the ongoing enhancement of algorithms and models of the biggest techonology companies in the world.
How to become a Crowdsourcing Data Evaluator?
It’s important to highlight that most of these jobs are remote, part-time and freelance positions, where the recruitment of workers to form this crowd is carried out by data solution companies. In the end, the worker will be an outsourced employee of a technology company, which is the end client of these data solution companies. To become a crowdsourgin data evaluator you must pass through a selection process, which is somewhat extensive (for some companies) and it might involve:
- Profile analysis;
- Language tests (in some cases);
- Qualification tests.
It is worth to mention that, the qualification exam doesn’t require any prior knowledge, except for a good understanding of English and your native language, as the guidelines for succeeding in the test are provided before you gain access to the qualification exam. It’s important to highlight that each step follows the other, meaning you’ll only have access to the qualification exam if you succeed in the profile analysis. This analysis includes parameters such as gender, age range, field of expertise, and more, as these companies aim to create the most diverse crowd composition possible.
In summary, to become a crowdsourcing data evaluator, you’ll need to go through all the stages of the selection process set by the recruiting companies.
Requirements
To apply for this type of job, you don’t need any specific degree or knowledge in the technology field. However, for most companies, here are some common requirements:
- Access to a stable internet connection;
- Have a mobile phone and computer for task evaluation;
- Active internet user;
- Fluency in the language spoken in your country of residence;
- Good understanding of English;
- Residency in the country you are applying for the position.
Earnings and Payments
The compensation is usually in american dollars (USD) and on a per-task basis. In other words, evaluators are paid based on the number of tasks completed over the weeks, and they receive payments through payment platforms like PayPal, Payoneer, or even via bank transfers. The payment per task varies according to the estimated task execution time, the country, and the project.
Projects Availability
Despite this type of work being relatively lesser known, there is a global demand for “crowd workers” for various types of projects. As you’re aware, the applications of artificial intelligence are no longer just the future, but the present reality. Consequently, this market of opportunities goes hand in hand with the development of a significant portion of these algorithms.
If you’d like to find out if there are vacancies for this type of work in your country and get an average earnings estimate, simply leave a comment with the name of your country, and we’ll provide you with a response!
