Data Collection Specialist
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Job Location:
Bern - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a detail-orientedData Collection Specialist to support a document collection project focused on unfilled PDF forms used in a number of locales. The collected forms will be used for data analysis and LLM learning.
Scope of Work
The specialist will be responsible for sourcing and delivering blank (unfilled) PDF forms that meet specific linguistic regional and structural requirements.
Key Responsibilities
- Collect unfilled PDF forms available online
- Ensure forms are in the local language
- Source forms across multiple sectors including:
- Medical
- Education
- Finance
- Tax
- Travel
- Retail
- Vehicle / Automotive
- Verify that all forms meet page-length requirements
- Organize and label collected files clearly and consistently
- Ensure documents are publicly available or legally shareable
Form Requirements
- Format: PDF
- Status: Unfilled / blank forms only
- Length:
- 15 pages preferred
- 6 pages allowed only as an exception
- Forms may be part of a larger document (e.g. brochures guides manuals) as long as the form section itself meets the page limit
Required Qualifications
- Experience in data collection document sourcing or research
- Strong attention to detail and ability to follow detailed guidelines
- Ability to work independently and meet deadlines
Nice to Have
- Prior experience working with datasets document annotation or AI/ML data projects
Deliverables
- A curated set of compliant PDF forms meeting all project requirements
- Clear documentation or metadata indicating sector language and page count
Location
- Anywhere in Hong Kong Malaysia Israel Sweden Finland Norway or Switzerland fully remote
Required Experience:
Junior IC
Key Skills
- GIS
- Computer Data Entry
- Facilities Management
- ADMA
- Fleet
- Key Account
About Company
Summa Linguae Technologies builds technology-enabled solutions to help global, content-rich companies with any multilingual data challenge.
