Description
Join the CrowdGen team as an Independent Contractor for Project Vistula!
We are currently looking for Independent Contractors who are bilingual speakers of English and Korean. In this role, you will evaluate English to Korean machine translations to help enhance one of the world's leading translation engines.
Requirements:
- Native speaker of English
- Strong proficiency in Korean.
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!
USD 18 - 18 per-hour-wage
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
Company
Appen provides data and annotation services for AI model development, offering diverse, expert-validated datasets across language, vision, and multimodal domains. The company positions its data as essential for training frontier AI models, with a history spanning more than 30 years and milestones in NLP, search relevance, machine translation, image annotation, transformer-era data, GPT-3 training, RLHF, and multimodal foundation models. By combining human insight with scalable annotation workflows, Appen supports customers in building AI systems that require nuanced understanding and robust real-world performance.
Related postings
Appen
Machine Translation Evaluation – Korean to English; Project VistulaSouth Korea- Machine Translation Evaluation – English to Japanese; Project Vistula V2
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- Machine Translation Evaluation – English to Chinese (Simplified); Project Vistula