Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see.

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 Gujarati 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 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 Gujarati 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.

Why Join Mercor

• Build the training data that makes document AI work in scripts it currently handles badly.
• Work from real published Gujarati documents rather than synthetic or templated pages.
• Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

• 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 Gujarati, 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 Gujarati 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 Gujarati expert, and experienced annotators take on that review.

Work arrangement: Fully remote

Eligible countries: India

• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

• Payments are weekly on Stripe or Wise based on services rendered.