Hebrew Handwriting Annotation Project

Project Overview 

Join OneForma’s global community of AI contributors and help advance the future of handwriting recognition technology. This flexible, remote freelance opportunity is ideal for detail-oriented individuals with strong Hebrew language skills. 

What You'll Do 

As part of the annotation team, you will review images containing handwritten and printed Hebrew text, accurately annotate the content, and help build high-quality datasets used to train next-generation AI systems. 

Your responsibilities will include: 

• Verify that images meet quality requirements, ensuring that the text is readable and suitable for annotation. 

• Draw precise bounding boxes around lines of handwritten or printed text using the provided annotation tools. 

• Accurately transcribe text exactly as it appears, preserving capitalization, punctuation, spacing, and special characters. 

• Identify and apply the appropriate labels for special text styles, layouts, or conditions according to project guidelines. 

• Perform quality checks to ensure consistency, accuracy, and compliance with project guidelines. 

Location: Remote, Israel 

Compensation: $15 per hour 

Why Join This Project? 

• Contribute to the development of AI systems for Hebrew handwriting recognition 

• Work remotely with a flexible schedule 

• Receive detailed guidelines and workflow training 

• Build experience in AI data annotation and machine learning projects 

• Join a global network of language experts and contributors 

Requirements 

• Fluent proficiency in Hebrew 

• Ability to read both handwritten and printed Hebrew text 

• Living in Israel 

• Strong attention to detail and accuracy 

• Ability to follow instructions and annotation guidelines carefully 

• Availability to contribute a minimum of 20 hours per week, ensuring tasks are completed within the expected timelines 

• Prior experience with data annotation, transcription, localization, or language-related projects is preferred but not required 

Apply and join the project today!