Join the CrowdGen team as an Independent Contractor for Project Vistula!
We are currently looking for Independent Contractors who are native German speakers with strong English proficiency and a strong background in language expertise. In this role, you will evaluate English-to-and-from-German machine translations to help enhance one of the world’s leading translation engines.
Requirements:
Native speaker of German
Strong proficiency in English
Professional language expertise is required (e.g., linguist, translator, language teacher or similar language-related background)
Compensation:
The project rate is $10.95 per file. Each file should take approximately 15–20 minutes to complete, resulting in an estimated effective hourly rate of $32.85–$43.80 per hour, depending on completion speed.
Important: When applying, make sure to select both German and English as your primary and/or additional languages. If one of the languages is not selected during the application, there is a high chance that your application will be rejected.
This role is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen regarding the creation of an account using your application email address. You will need to log in to this account and reset the password, complete the setup requirements, and proceed with your application for this project-based role.
If you’re passionate about languages and eager to contribute to improving AI-driven translation systems, we’d love to have you on board. Apply today and become part of the CrowdGen Community for Project Vistula!
#crowdgen
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\n$32.85 - $43.80 an hour\n
CrowdGen by Appen is a crowdsourcing platform that connects remote workers with on-demand tasks focused on data annotation and quality evaluation. The company specializes in gathering human feedback for AI and machine learning model training, with projects ranging from audio evaluation to text assessment. CrowdGen leverages a global network of contributors to complete ad-hoc tasks that help improve AI systems and voice technologies. Their work spans multiple languages and involves workers evaluating content quality according to client specifications.
