Data Annotator

AI learns to read documents from examples that people label by hand. Every form, every field, every checkbox a model gets right in the real-world traces back to someone who marked it correctly first. That work is careful, repetitive, and genuinely important — and it can be done from home, on your own schedule. 

On Project Asterio, you’ll review form-based documents and mark the elements inside them, so an AI model can learn to recognize the same patterns. If you have a sharp eye, follow instructions closely, and like work you can do at your own pace, this is a good fit. 

What you’ll do 

Your task is to annotate form documents using a web-based tool. For each document you’ll: 

Draw bounding boxes around specific elements on the page 

Assign the correct label to each one from a set of predefined categories 

Work through common form elements — field groups, text fields, single-character fields, checkboxes, and similar items 

Follow the annotation guidelines precisely so every document is labeled the same way 

Keep accuracy high — clean, consistent labels are what make the training data useful 

Who can participate 

You’re a good fit if you: 

Have native-level fluency in Finnish (Finland)

Pay close attention to detail and can follow annotation guidelines accurately 

Are comfortable working with web-based tools and doing repetitive tasks consistently 

Can work independently and manage your tasks within project deadlines 

Are willing to complete onboarding, training, and qualification tasks before production work begins 

Previous experience in data annotation, data labeling, content moderation, or similar AI projects is a plus — but it isn’t required. If you’re detail-oriented and reliable, we’ll teach you the rest.