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Crea una Job Alert gratuita per odia transcription expert - fully remote / montà

Odia transcription expert - fully remote

Pubblicato il 22-09-2026 - Altro in Montà

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: PDF Annotation & Transcription Experts - Odia

Type: Contract

Compensation: $13/hour

Location: Remote

Role Responsibilities

Source documents: Find a publicly accessible Odia PDF in an assigned document type with multimodal elements. Record the source.

Annotate structure: Identify and bound every meaningful region of the page. Assign each a component type and a reading-order index.

Record relationships: Link each region to its parent component, such as a figure or table.

Transcribe faithfully: Reproduce all text exactly as it appears in Odia script , including handwritten content. Flag any illegible regions.

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 of tasks by a second Odia expert .

Qualifications

Must-Have

Native Odia speaker with full command of the script.

Experience in annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review.

Exact character-level accuracy.

Systematic application of taxonomy across pages.

Comfort with unfamiliar layouts like multi-column newspapers and handwritten forms.

Preferred

Experience with regional-language AI data annotation, labeling, grading, or bilingual evaluation.

Skills in transcription and localization: MTPE , subtitling, bilingual QA, OCR correction, or post-editing.

Document production skills: typesetting, copy-editing, proofreading, or digitization of Odia-language material.

Knowledge of script and encoding: Unicode normalization , Odia input methods , numeral-form, and character-form accuracy.

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