Document Annotation and Transcription Specialist (Odiya)

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for languages like Odiya, alongside four other Indic scripts, Japanese, and Korean. Each task involves taking a real, publicly available PDF page and producing a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset focuses on the types of documents models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are sourced from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices, and worksheets, ensuring the corpus reflects the real diversity of Odiya documents.

Delivered work is entirely human-authored, with component identification, component typing, reading order, and all transcription performed by people, not generated by parsing models.

Requirements

What You'll Do

• Open and check a task: pages are provided, so you do not source documents yourself. We find the PDFs and upload them for you. Before annotating, confirm the page is in Odiya, is legible, has real content, and shows no personal details.
• Annotate 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 index.
• Record relationships: link each region to the figure or table it belongs to through a parent component identifier.
• Transcribe faithfully: reproduce all text exactly as it appears in Odiya script, including handwritten content, flagging any region where the source is not legible.
• Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas, and handwriting.
• Review a colleague's work: every task is reviewed end-to-end by a second Odiya expert, and experienced annotators take on that review.

Who You Are

• You are a native Odiya speaker with full command of the script, its diacritics, and its conjunct forms.
• You have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review.
• You are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect.
• You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document.
• You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms.

Nice-to-Have Specialties

• Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets.
• Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction, or post-editing.
• Document production: typesetting, copy-editing, proofreading, or digitization of Odiya-language material.
• Script and encoding: Unicode normalization, Odiya input methods, numeral-form and character-form accuracy.

What Success Looks Like

• Every meaningful region on the page is captured, correctly bounded, and correctly typed.
• Reading order reflects how the page is actually read, including across columns.
• Transcriptions match the source character for character, in Odiya script rather than transliteration.
• Your tasks pass second-expert review the first time.
• Unsuitable pages are flagged up front rather than after thirty minutes of work.