⭕ 2️⃣0️⃣ ¡Boxeo de palabras!💰 [japonés/chino/coreano]
20 words had to be framed taking into account symbols and numbers according to the respective project rules; each project task had to be completed in less than 8 minutes
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Profile Summary Experienced data annotator specializing in AI training datasets since 2020, with a strong background in image and text labeling across platforms such as Hive Work, Toloka, and Remotask. Skilled in bounding box annotation (both axis-aligned and rotated), polygon segmentation, key point labeling, and precise framing of people and objects in visual data. Known for delivering high-quality annotations with strict adherence to project guidelines and consistency standards. Multilingual expertise is a core strength, with hands-on annotation experience in Japanese, Arabic, English, Russian, Spanish, Chinese, Korean, and Hebrew. As a native Spanish speaker with B1 proficiency in English and Arabic, I combine technical precision with linguistic sensitivity, making me a valuable asset for multilingual NLP and computer vision projects. I thrive in remote, detail-oriented environments and am committed to continuous improvement and professional excellence.
20 words had to be framed taking into account symbols and numbers according to the respective project rules; each project task had to be completed in less than 8 minutes
A 3D cuboid must be placed on the right and left feet, taking into account the three-dimensional position of the foot in a simple 2D photo.
B1 level in both languages, Face-to-face and online English and Arabic classes, with personalized programs for all ages and goals.
Bachillerato, secondary education - high school
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