This website uses cookies to ensure you get the best experience.

DataForce by TransPerfect and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes.

See our Cookie Policy to read more about the cookies we set.

You can withdraw and manage your consent at any time, by clicking “Manage cookies” at the bottom of each website page.

Select which cookies you accept

On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly.

If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link “Manage Cookies”, that is always available at the bottom of the site.

To learn more about what the different types of cookies do, how your data is used when they are set etc, see our Cookie Policy.

These cookies are necessary to make the site work properly, and are always set when you visit the site.

Vendors Teamtailor

These cookies collect information to help us understand how the site is being used.

Vendors Teamtailor

These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site.

Vendors Youtube, Linkedin, Meta
Skip to main content
DataForce by TransPerfect
Barcelona

Hebrew Annotator onsite in Barcelona

Work Location: Barcelona, onsite 

Engagement Model: Full-time

Estimated Project Duration: Until the end of February

Estimated Start Date: Immediate

Role Summary 

DataForce by TransPerfect is currently looking for a detail-oriented Hebrew Annotator, to support our data processing and AI training initiatives.  

The ideal candidate will be responsible for transcribing and annotating text from various document types, ensuring accuracy and consistency in data preparation for OCR and machine learning applications.  

This position demands a strong sense of autonomy, adaptability, and precision. A keen eye for detail will be a key asset for success. 

 

Role Responsibilities 

  • Transcribe content (handwritten and typed text) from scanned or digital documents. 

  • Annotate text (draw bounding boxes around text lines) using annotation tools. 

  • Review and verify transcribed data for accuracy and completeness. 

  • Maintain consistent labeling standards and adhere to project guidelines. 

  • Report issues and suggest improvements to enhance OCR performance. 

 

Role Requirements 

  • Idiomatic fluency in Hebrew. 

  • High proficiency in English both written and spoken. 

  • Pass a qualification test (estimated duration 30 minutes and must have access to a computer with a Hebrew keyboard to complete the test).  

  • Bachelor's degree or equivalent professional experience. 

  • Ability to meet daily quality standards and have strong attention to detail. 

  • Flexibility, ability to adapt and react to changing priorities quickly and efficiently. 

  • Ability to track, analyze, and report issues. 

  • Good oral and written communication skills. 

  • Problem-solving abilities. 

  • Excellent time management.  

 

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. 

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains. 

To learn more about DataForce please visit us at https://www.transperfect.com/dataforce. 

 

Locations
Barcelona
Employment type
Full-time
Barcelona

Hebrew Annotator onsite in Barcelona

Loading application form

Applicant tracking system by Teamtailor