Freelance Screenshot Collector - Dutch; US, Remote
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listed on 2026-02-12
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IT/Tech
Data Entry, Data Analyst, Technical Writer
3 days ago Be among the first 25 applicants
Work Location: Remote/Work-from-home within the United States
Estimated Start Date: June 2025
Rate: $0.5 USD per accepted screenshot
Hourly Throughput: 30 screenshots
Preferred availability: Minimum 10 hours per week
Languages Needed: Dutch, English
Data Force by Trans Perfect is seeking Screenshot Collectors in the United States for an innovative Artificial Intelligence project.
Role Summary:
As a Screenshot Collector, you will capture screenshots of publicly accessible content from websites and applications using devices such as an iPhone, Mac Book, or iPad.
Role Responsibilities:
- Capture screenshots of websites and applications on iPhone, Mac Book, and/or iPad using device-specific methods
- Focus on Dutch content and capture in specific modes (landscape/portrait, dark/light mode)
- Follow predefined guidelines and categories during screenshot capture
- Annotate each screenshot with categorization, description, and link/app name
- Maintain accuracy and consistency throughout the process
Job Requirements:
- Proficiency in Dutch
- Access to one or more of the following devices:
- iPhone 12 or later, iOS 18 or later
- iPad with iPadOS 18 or later
- Mac running macOS 15.0 (Sequoia) or later
- Ability to take screenshots using device-specific methods
- Attention to detail and ability to follow guidelines
- Ability to work independently and meet KPIs
- Strong organizational skills for managing screenshots and metadata
- Previous experience in online Data Collection is a plus
For questions, contact us at: Data Fo
Data Force by Trans Perfect is part of the Trans Perfect family, providing language and technology solutions globally, with offices in over 100 cities.
We provide high-quality data for Human-Machine Interaction to top technology companies, focusing on data gathering, enrichment, and processing for Machine Learning in AI domains.
Learn more at
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