Flexible hours and good pay, but unstable projects: opiniones de empleados con el puesto de AI Data Annotator en DataAnnotation

Easy to get set up and work through the "entrance tests", and fairly easy to earn through your first project. The pay per project is OK (in THEORY), but in practice it can be difficult to make real money (see cons).

My experienced was, unless you have expertise in a very in-demand area like STEM, multilingual, or teaching, the available projects quickly dry up. They then encourage you to "take more qualification tests to see more projects." However, after the tests are taken, no indication is given as to the results and at times nothing more shows up in projects. In the end it can be a random, and disorienting process.

Create your own schedule, choose which projects to work on, and fairly good pay depending on the project

Lack of transparency / protection due to contract/freelance nature, oftentimes not many projects to choose from