PDF Annotation & Transcription Experts – Odiya

Mercor; India; Remote; INR 1,294,000 - 1,423,000; Part time

Benefits offered by this job

Remote work

Job summary

Mercor is hiring for a PDF Annotation & Transcription role focused on Odiya documents. This fully remote, hourly contract requires native fluency in Odiya and meticulous transcription across diverse layouts, including handwritten content. Tasks involve annotation, transcription, and metadata capture with peer review.

Project aims to build training data for Odiya and related scripts, with weekly payments and strict quality checks. Prior experience is valued but not required.

Qualifications

• Native Odiya speaker with full command of the script and orthography.
• Experience with document annotation, transcription or related language tasks is a plus.
• Attention to character-level accuracy for handwriting and non-Latin scripts.

Responsibilities

• Open and verify tasks are in Odiya and contain real content.
• Annotate structural regions and assign reading-order indexes.
• Transcribe text exactly in Odiya script, flag unreadable areas.
• Record metadata and review work with a second Odiya expert.
• Ensure pages are flagged if content is unsuitable.

Skills

Odiya fluency

Job description

PDF Annotation & Transcription Experts – OdiyaCompany: MercorCompensation: $10-$11 per hourCommitment: Hourly contractLocation: RemoteReferral Reward: Earn up to $60 per successful referral.Referral Link: https://t.mercor.com/V1sUA

Location requirementsIndiaFluent Language Skills Required: Odiya. Native fluency in Odiya (Oriya), including full command of Odiya script and orthography, is required for this position. All annotation and transcription work is performed in Odiya.

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: Odiya, 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 Odiya 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

• 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

Why Join Mercor

• Build the training data that makes document AI work in scripts it currently handles badly
• Work from real published Odiya documents rather than synthetic or templated pages
• Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it
• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.