Data Collection Project — Unfilled PDF Forms (43 Locales)

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profile Job Location:

Delhi - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Were looking for reliable contributors to support a data collection projectacross 43 locales/countries. The task involves collecting publicly available unfilled or empty forms (in PDF format)from official or organizational websites across various sectors.



Sectors Include:

  • Medical:registration consent billing assessment prescription etc.
  • Education:enrollment admission feedback consent scholarship etc.
  • Finance:statements invoices applications corporate or payment forms.
  • Tax:local/national tax forms (e.g. 1040 W-2 etc.).
  • Travel:booking visa authorization feedback or itinerary forms.
  • Retail: purchase order vendor survey invoice or account forms.
  • Vehicle: license registration insurance inspection or ownership forms.



Project Details:

  • Locales:43 (you can work on a specific assigned country)
  • Format:PDF (unfilled or sample forms)
  • Sources:Publicly available online (no private or copyrighted content)
  • Compensation:Paid per valid/accepted form collected (details upon onboarding)
  • Start Date:Immediate



Requirements:

  • Strong online research skills
  • Attention to detail and organization
  • Familiarity with local institutions and official websites



To Apply: Please include your Resumeand any relevant research or data collection experiencein your proposal.





Were looking for reliable contributors to support a data collection projectacross 43 locales/countries. The task involves collecting publicly available unfilled or empty forms (in PDF format)from official or organizational websites across various sectors.Sectors Include:Medical:registration consent ...
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Key Skills

  • Accounts Receivable
  • Biochemistry
  • Administration Support
  • Administration And Secretarial
  • Architecture

About Company

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Summa Linguae Technologies builds technology-enabled solutions to help global, content-rich companies with any multilingual data challenge.

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