Label Form Documents to Train AI — Flexible Remote Annotation Wo

aitrainer; Deutschland; Hybrid; EUR 12.000 - 18.000; Teilzeit

Zusammenfassung

aitrainer is offering flexible remote work opportunities in Germany for individuals who excel at detail-oriented tasks. You will annotate form documents, ensuring accuracy and consistency as you label elements for AI training. This position allows you to work from home, manage your own schedule, and contribute to improving AI document processing capabilities.

Ideal candidates should have native-level fluency in a given language, be comfortable using web-based tools, and possess a commitment to delivering high-quality annotations.

Qualifikationen

• Must have native-level fluency in one of the required languages.
• Attention to detail and ability to follow guidelines accurately.
• Comfortable working with web tools and managing tasks independently.

Aufgaben

• Annotate form documents using a web-based tool.
• Draw bounding boxes around specific elements on the page.
• Assign the correct label to each element from predefined categories.

Kenntnisse

Attention to detail

Native-level fluency in a language

Comfortable with web-based tools

Jobbeschreibung

Label Form Documents to Train AI — Flexible Remote Annotation Work in Your Language

Good with detail? Turn it into flexible remote work 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.

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

Why this matters

Models that read and process documents are only as good as the examples they’re trained on. When you box and label a field correctly, you’re teaching the model to understand that same field on thousands of documents it will see later. Your attention to detail directly shapes how accurate and reliable the finished product is.

Who can participate

• Have native-level fluency in one of the languages listed below, and know the document formats used in that country
• 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

What you’ll need

• A computer (laptop or desktop) with a reliable, stable internet connection
• A modern web browser
• Native-level fluency in your target language
• Patience, focus, and a commitment to accuracy

OneForma is an equal‑opportunity employer and will not discriminate against any of our applications based on race, gender, religion, or cultural background.