26 set - Roma
Mercor
ppbFluent Language Skills Required: /b Malayalam. Native fluency in Malayalam, including full command of Malayalam script and orthography, is required for this position. All annotation and transcription work is performed in Malayalam. /p pbWhy This Role Exists /b /p pDocument understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Malayalam, 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. /p pThe 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 Malayalam documents rather than a narrow band of easily parsed ones. /p pDelivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models. /p pbWhat You'll Do /b /p ul lipOpen 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 Malayalam, is legible, has real content, and shows no personal details /p /li lipAnnotate 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 /p /li lipRecord relationships: link each region to the figure or table it belongs to through a parent component identifier /p /li lipTranscribe faithfully: reproduce all text exactly as it appears in Malayalam script, including handwritten content, flagging any region where the source is not legible /p /li lipCapture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting /p /li lipReview a colleague's work: every task is reviewed end to end by a second Malayalam expert, and experienced annotators take on that review /p /li /ul pbWho You Are /b /p ul lipYou are a native Malayalam speaker with full command of the script, its diacritics and its conjunct forms /p /li lipYou have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review /p /li lipYou are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect /p /li lipYou are systematic:
you apply a taxonomy consistently across hundreds of pages rather than improvising per document /p /li lipYou are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms /p /li /ul pbNice-to-Have Specialties /b /p ul lipRegional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets /p /li lipTranscription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing /p /li lipDocument production: typesetting, copy-editing, proofreading, or digitization of Malayalam-language material /p /li lipScript and encoding: Unicode normalization, Malayalam input methods, numeral-form and character-form accuracy /p /li /ul pbWhat Success Looks Like /b /p ul lipEvery meaningful region on the page is captured, correctly bounded and correctly typed /p /li lipReading order reflects how the page is actually read, including across columns /p /li lipTranscriptions match the source character for character, in Malayalam script rather than transliteration /p /li lipYour tasks pass second-expert review the first time /p /li lipUnsuitable pages are flagged up front rather than after thirty minutes of work /p /li /ul pbWhy Join Mercor /b /p ul lipBuild the training data that makes document AI work in scripts it currently handles badly /p /li lipWork from real published Malayalam documents rather than synthetic or templated pages /p /li lipQuality leads on this project: accuracy is the first measure, with handling time tracked alongside it /p /li /ul /p #J-18808-Ljbffr
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