Telugu Document Annotation & Transcription Specialist

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for languages like Telugu, alongside four other Indic scripts, Japanese, and Korean.

The dataset focuses on the material 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 Telugu documents.

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

Requirements

What You'll Do

• Open and check a task: pages are provided, so you do not source documents yourself. Confirm the page is in Telugu, legible, contains 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 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 Telugu script, including handwritten content, and flag any illegible regions.
• 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 Telugu expert, and experienced annotators take on this review.

Who You Are

• You are a native Telugu speaker with full command of the script, its diacritics, and its conjunct forms.
• You have worked with documents in roles such as annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review.
• You prioritize exactness: character-level accuracy matters more than speed, and a single wrong diacritic is considered 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, such as multi-column newspapers and 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 Telugu-language material.
• Script and encoding: Unicode normalization, Telugu 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 Telugu 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.