Remote Malayalam Document Annotator & Transcriptionist

SaidGig; New York (NY); Remote; USD 14,000 - 15,000; Part time

Benefits offered by this job

Remote work

Job summary

SaidGig is seeking skilled Malayalam annotators to build high-quality training data from real Malayalam PDFs. You will map page structure, transcribe every text region in the original script, and handle complex layouts such as multi-column pages and forms.

Ideal candidates are native Malayalam speakers with strong attention to character-level accuracy and experience with document annotation. This is a remote, hourly role with flexible hours, supporting a growing AI data project.

Qualifications

• Native fluency in Malayalam.
• High accuracy with Malayalam script and diacritics.
• Experience with annotation, transcription, localization, or data review.

Responsibilities

• Review assigned Malayalam pages for readability and content.
• Identify and bound every meaningful region: titles, headings, paragraphs, tables, figures, diagrams.
• Assign correct component type and reading-order index to each region.
• Record structural relationships by linking regions to figures or tables via parent IDs.
• Transcribe all visible text exactly as it appears in Malayalam script.
• Flag regions that cannot be read reliably.
• Capture page metadata including language, document type, source, and dimensions.
• Review another Malayalam expert's work end to end when assigned to reviewer role.
• Apply the annotation taxonomy consistently across pages.
• Flag unsuitable pages before annotation begins.

Skills

Malayalam transcription

Job description

SaidGig is seeking skilled Malayalam annotators to build high-quality training data from real Malayalam PDFs. You will map page structure, transcribe every text region in the original script, and handle complex layouts such as multi-column pages and forms.

Ideal candidates are native Malayalam speakers with strong attention to character-level accuracy and experience with document annotation. This is a remote, hourly role with flexible hours, supporting a growing AI data project.