Japanese Pdf Annotation Specialist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7nxy3k

Fluent Language Skills Required:Japanese. Native fluency in Japanese, including full command of kanji, hiragana and katakana, is required for this position. All annotation and transcription work is performed in Japanese.Why This Role ExistsDocument understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Japanese, alongside Korean and five Indic scripts. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, vertical text, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Japanese documents rather than a narrow band of easily parsed ones.Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.What You'll DoSource documents: find a publicly accessible Japanese PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained itAnnotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order indexRecord relationships: link each region to the figure or table it belongs to through a parent component identifierTranscribe faithfully: reproduce all text exactly as it appears, including kanji, hiragana, katakana, furigana and handwritten content,



flagging any region where the source is not legibleCapture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwritingReview a colleague's work: every task is reviewed end to end by a second Japanese expert, and experienced annotators take on that reviewWho You AreYou are a native Japanese speaker with full command of kanji, hiragana and katakana, including furigana and variant character formsYou have professional experience in interpretation, journalism, transcription, translation, editorial work, or comparable document-intensive workYou are exact: character-level accuracy matters more here than speed, and a single wrong character is a defectYou are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per documentYou are comfortable with unfamiliar layouts: vertical text, multi-column newspapers, exam papers, handwritten formsNice-to-Have SpecialtiesAI training data: annotation, labeling, grading, or bilingual evaluation for training datasetsTranscription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editingDocument production: typesetting, copy-editing, proofreading, or digitization of Japanese-language materialScript and encoding: Unicode normalization, Japanese input methods, full-width and half-width forms, and kanji variant handlingWhat Success Looks LikeEvery meaningful region on the page is captured, correctly bounded and correctly typedReading order reflects how the page is actually read, including vertical text and multi-column layoutsTranscriptions match the source character for character, in Japanese script rather than romajiYour tasks pass second-expert review the first timeThe documents you bring in add layout diversity rather than repeating templates already in the corpusWhy Join MercorBuild the training data that makes document AI work in scripts it currently handles badlyWork from real published Japanese documents rather than synthetic or templated pagesQuality leads on this project: accuracy is the first measure, with handling time tracked alongside it#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7nxy3k