UX Writing

I used to work for Mighty Ai. Mighty Ai gave our customers high-quality annotations of their raw data using computer vision models and a community of highly skilled annotators. My job was to train said annotators to create high-quality annotations that meet the rigorous expectations of our customers. It gets complicated.

Let's say you are an automotive customer interested in traffic signs. Specifically, you are an automotive customer who wants thousands of images inspected for different kinds of traffic signs. You also wish to have boxes drawn around those traffic signs. Then, you want to know if the signs are blocked or not. And, crooked or not.

You could explain how to create the traffic sign labels the customer wants, but it won't be easy without showing people how. Visibility percentage is a tricky concept to teach, as is crookedness percentage and bounding box precision.

Enter content design and UX writing. Understanding these tools not only helps create neat content but also simplifies and humanizes complex tasks. They make it easier to teach users, even when the concepts are as tricky as visibility percentage, crookedness percentage, or bounding box precision.

While I can't reveal the specific tool we used, my approach was a resounding success. Utilizing images like the ones below and accessible yet specific language, the annotators were quickly able to understand and succeed at the task. The customer was delighted with the resulting data annotations, and their model was significantly improved in recognizing and understanding street signs.

While I can't reveal the specific tool we used, our approach was a resounding success. The customer was delighted with the resulting data annotations, and their model was significantly improved in recognizing and understanding street signs.