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RWS Group is a forward-thinking company focused on enhancing the reliability of artificial intelligence models through data annotation and evaluation. With a commitment to remote work, RWS offers flexible job opportunities that allow employees to maintain a work-life balance while contributing to the advancement of generative AI and machine learning technologies. The company values detail-oriented individuals who are eager to learn and improve processes, providing training and support to ensure high-quality outcomes in data curation.
RWS
Join RWS Group as a part-time General AI Data Annotator, working remotely from Croatia.
RWS
Join RWS Group as a General AI Data Annotator, working part-time from home to evaluate AI-generated speech.
RWS
Join RWS Group as a General AI Data Annotator, working part-time from home in Indonesia to improve AI models.
RWS
Join our voice AI evaluation project as a native Korean speaker with Japanese language skills.
RWS
Join a remote project evaluating AI conversations as a Korean speaker proficient in Simplified Chinese.
RWS
Join our remote voice AI evaluation project as a native Japanese speaker with Korean skills.
RWS
Contribute to AI projects by performing various tasks as a native Korean speaker.
RWS
Join RWS as a remote Icelandic Data Annotator to improve AI models on a flexible schedule.
RWS
Join RWS as a remote Data Annotator to improve AI models through language identification tasks.
RWS
Join as a Scottish Gaelic Data Annotator and work remotely to improve AI models with flexible hours.
RWS
Join our global talent network for AI-related roles and work on innovative projects in a flexible, remote setting.
RWS
Join us as a Search Quality Rater to enhance AI search technology while working from home.
RWS
Join RWS as a Search Quality Rater to enhance AI search technology through online evaluations.
RWS
Join RWS as a Search Quality Rater to enhance AI search engine performance through online evaluations.
RWS
Join RWS as a Search Quality Rater to enhance AI search technology through online evaluations.