Robotics Data Annotator

Before you start, read the step-by-step guide. It walks through the whole process with screenshots, including exactly what your final screenshot needs to show. An unclear or incomplete final screenshot is the one thing that will stop your application, so it is worth ten minutes before you begin.

Sovrano places annotators on robotics data projects for AI companies building the next generation of robot learning models. The work is describing what a robot or a human hand is doing in short video clips, frame by frame or as a caption. Things like twisting left, loosening a bolt, gripping a handle. Precision and consistency matter far more than speed or creativity.

Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

You complete a free qualification now, on our partner's annotation platform. Projects open with little notice, which is why we qualify people in advance rather than scrambling when one lands.

The qualification is an English check, a typing check, optional practice tasks, and a 5-task exam. It is free, you do it in your own time, and nobody pays anything at any point.

One rule matters more than the rest: sign up on the partner platform using the same email address you apply with here. That is how we confirm your result. A different address means we cannot verify that you passed.

Finishing the exam is not the last step. Once it is done, come back and complete the short completion form we link in your application email. It asks for the email address on your platform account, the referral code you used, and a screenshot of your completed exam. We cannot verify you without it, so your application is only complete once that form is in.