Bengali Document Specialist
Pubblicato il 16-10-2026 - Mercor in Bologna
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 – Bengali
Type: Contract
Compensation: $13/hour
Location: Remote
Role Responsibilities Source documents: find a publicly accessible Bengali 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 Bengali 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 Bengali expert, and experienced annotators take on that review.
Qualifications Must-Have Native Bengali speaker with full command of the script, its diacritics, and its conjunct forms.
Experience with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review.
Exact character-level accuracy; a single wrong diacritic is a defect.
Systematic application of a taxonomy across hundreds of pages.
Comfort with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms.
Preferred Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets.
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