Odia Document Annotation Specialist

Obsidian; Mumbai; On-site; INR 350,000 - 520,000; Full time

Job summary

Mercor seeks skilled Odia annotators to build training data for Odia language documents. You will locate publicly accessible Odia PDFs that include multimodal content and annotate every meaningful region with precise structure and reading order.

You will transcribe text in Odia script, tie regions to their parent figures or tables, and document page metadata. A second Odia expert will review each submission to ensure quality.

Qualifications

• You are a native Odia speaker with full command of the script and its conjunct forms.
• You have worked with documents: annotation, transcription, localization, subtitling, proofreading, journalism, or regional-language data review.
• You value character-level accuracy and avoid diacritic mistakes.
• You are systematic and apply a taxonomy consistently across pages.
• You are comfortable with unfamiliar layouts: multi-column pages and handwritten forms.

Responsibilities

• Source publicly accessible Odia PDFs containing multimodal elements and record sources.
• Annotate page structure: bound every meaningful region and assign a component type and reading-order index.
• Record relationships: link regions to the figure or table it belongs to through a parent component identifier.
• Transcribe faithfully: reproduce text exactly in Odia script, flagging illegible regions.
• Capture page metadata: language, document type, source, page dimensions, and flags for tables and handwriting.
• Review a colleague's work: second Odia expert reviews each task end-to-end.

Skills

Native Odia speaker

Annotation experience

Transcription

Localization

Subtitling

Proofreading

Journalism

Regional-language data review

Job description

Fluent Language Skills Required:

Odia. Native fluency in Odia (Oriya), including full command of Odia script and orthography, is required for this position. All annotation and transcription work is performed in Odia.

Why This Role Exists

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

• Source documents: find a publicly accessible Odia PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it

• 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 Odia 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 Odia expert, and experienced annotators take on that review

Who You Are

• You are a native Odia 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 Odia-language material

• Script and encoding: Unicode normalization, Odia 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 Odia script rather than transliteration

• Your tasks pass second-expert review the first time

• The documents you bring in add layout diversity rather than repeating templates already in the corpus

Why Join Mercor

• Build the training data that makes document AI work in scripts it currently handles badly

• Work from real published Odia documents rather than synthetic or templated pages

• Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it