Odia Transcription Specialist - Remote Contract

Mercor; Milano; Remoto; EUR 13.000 - 18.000; Tempo pieno

Descrizione del lavoro

Mercor is seeking PDF Annotation & Transcription Experts fluent in Odia for a remote contract position. Responsibilities include sourcing Odia PDFs, annotating structure, recording relationships, and precise transcription in Odia script.

The role requires meticulous attention to character-level accuracy and systematic taxonomy across pages. Ideal candidates have experience in annotation, transcription, localization or related fields, and can review work by peers.

Competenze

• Native Odia speaker with full command of the script.
• Experience in annotation, transcription, localization, subtitling, proofreading or regional-language data review.
• Exact character-level accuracy in work.
• Systematic taxonomy application across pages.
• Comfort with unfamiliar layouts like multi-column newspapers and handwritten forms.

Mansioni

• Source documents: Find a publicly accessible Odia PDF in an assigned document type with multimodal elements.
• Annotate structure: Identify and bound every meaningful region of the page; assign component type and reading-order index.
• Record relationships: Link each region to its parent component (e.g., figure or table).
• Transcribe faithfully: Reproduce all text exactly as it appears in Odia script, including handwritten content.
• Capture page metadata: Document language, type, source, page dimensions, and flags for tables, formulas, and handwriting.
• Review a colleague's work: Conduct end-to-end reviews by a second Odia expert.

Conoscenze

Native Odia speaker

Exact character-level accuracy

Taxonomy application

Handwritten/document layouts

Descrizione del lavoro

Mercor is seeking PDF Annotation & Transcription Experts fluent in Odia for a remote contract position. Responsibilities include sourcing Odia PDFs, annotating structure, recording relationships, and precise transcription in Odia script.

The role requires meticulous attention to character-level accuracy and systematic taxonomy across pages. Ideal candidates have experience in annotation, transcription, localization or related fields, and can review work by peers.