Sovrano AI review · AI Training & Data Labeling

Robotics Data Annotator — Sovrano AI (AI Training)

Robotics video annotation
Pay
$5–$15 per hour
Location
Remote · worldwide
Posted
Oct 5

What the work involves

Sovrano AI places annotators on robotics data projects for AI companies building 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 — where precision and consistency matter far more than speed. This listing is a pre-qualification: there is no project open right now, and passing the free exam puts you in the qualified pool so Sovrano can reach out first when a relevant project lands.

The qualification is an English check, a typing check, optional practice tasks and a five-task exam, done on the partner's annotation platform. Freelance, project-based, fully remote; once allocated to a project you're paid hourly, monthly against approved hours.

What you'll do

  • Describe robotic and manual actions in short video clips, frame by frame or by caption
  • Apply the project label guide consistently across every task, not just the first ten
  • Keep accuracy high across a full working session
  • Flag unclear, corrupted or low-quality clips instead of guessing
  • Meet the agreed turnaround once allocated to a project
  • Raise questions early when a clip does not fit the guide

Requirements & eligibility

  • Working English, reading and writing
  • Comfortable following a written label guide precisely and repeatedly
  • A laptop or desktop computer and a reliable internet connection
  • Able to work independently and remotely, without supervision
  • Able to set up two-factor authentication on your phone
  • Available for at least a few hours a week when a project opens
  • Previous annotation, labelling or data-QA experience (nice to have)
  • Fast, accurate typing (nice to have)

How to apply

Applications go directly to Sovrano AI. Read their terms before you sign up — and if anything feels off, run the scam check below first.

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