Malayalam PDF Annotation and Transcription Expert

About Open Train

Open Train AI is the hiring and contracting organization for this remote AI-training role. Open Train helps people build careers in AI training and data labeling, where human contributors prepare and review the examples modern AI systems learn from.

• Build experience in a fast-growing field that directly shapes how AI systems understand information.

AI training is the human side of building artificial intelligence. Contributors annotate documents, transcribe content, and review data so models can recognize page structure, text, tables, handwriting, and other real-world information.

This role focuses on Malayalam documents and scripts that current models may handle poorly. Your careful work will help create higher-quality training data for document-understanding systems.

• Work remotely with a computer and internet connection.
• Use specialized language and document skills in a cutting‑edge AI project.
• Choose flexible work around your schedule within the project’s weekly commitment.

Open Train is seeking a Malayalam PDF Annotation and Transcription Expert for a fully remote, hourly‑paid freelance contract. The role is listed as part‑time contractor work at $12.68 per hour and is open to contributors in India, the United States, Canada, the United Kingdom, Ireland, France, Germany, the Netherlands, Belgium, Austria, Switzerland, Italy, Spain, Portugal, Denmark, Sweden, Norway, Finland, and Malta.

The project brief specifies a commitment of 40 hours per week, while the structured listing indicates a minimum of 20+ hours per week. Review the current project terms before beginning work.

• Pay: $12.68 USD per hour.
• Work arrangement:
  Fully remote freelance contract.
• Employment type:
  
  Contractor and part‑time.
• Experience level:
  Entry level.
• Primary language:
  Malayalam.

You will work with publicly accessible Malayalam PDFs in assigned document types. Documents may contain images, tables, diagrams, handwriting, and varied layouts. The work combines document structure annotation, exact transcription, metadata capture, and quality review.

• Find publicly accessible Malayalam PDFs that contain multimodal elements such as images, tables, diagrams, or handwriting.
• Identify and bound every meaningful page region, including titles, headings, paragraphs, lists, tables, figures, captions, formulas, questions, and answer fields.
• Assign each region a component type and reading‑order index.
• Link each region to its parent component, such as connecting a caption to the figure or table it describes.
• Transcribe all text exactly as it appears in Malayalam script, including handwritten content.
• Flag regions that are illegible.
• Record language, document type, source, and page dimensions.
• Mark page‑level flags for tables, formulas, and handwriting.
• Review a colleague’s completed work for end‑to‑end accuracy.

Native Malayalam fluency is essential. You must have full command of Malayalam script, diacritics, and conjunct forms, with the ability to maintain character‑level accuracy across hundreds of pages.

The work requires a systematic approach to applying a consistent taxonomy, as well as comfort interpreting unfamiliar document layouts and handwritten material.

• Native fluency in Malayalam, including full command of script, diacritics, and conjunct forms.
• Experience in document annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional‑language data review.
• Character‑level precision, since even one incorrect diacritic is considered a defect.
• Ability to apply a taxonomy consistently across hundreds of pages.
• Comfort working with multi‑column newspapers, exam papers, and handwritten forms.

The following experience is helpful for this project, though the role’s stated requirements focus on Malayalam fluency, relevant document or language experience, consistency, and accuracy.

• Regional‑language AI data work, including annotation, labeling, grading, or bilingual evaluation for training datasets.
• Transcription and localization work such as machine translation post‑editing, subtitling, bilingual quality assurance,…