Welo Data is seeking Swahili speakers in Kenya to join the Welo Data Network and contribute to projects involving a range of language-focused tasks in Annotation, Evaluation, and Prompt creation. As a member, you'll have flexible freelance opportunities, be part of global projects, and gain experience in the tech space.
Job listings
$7–$7
USD/year
We are looking for a Swedish-speaking Data Annotator, based in Serbia, to work on projects to advance AI technologies. This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field.
$10–$10
USD/year
Evaluate video translations—specifically titles and subtitles—from a user’s perspective. Feedback will help enhance the accuracy, naturalness, and user experience of real-time translation models. Contribution will directly support the optimization of cutting-edge language technologies and help expand our high-quality evaluation datasets.
We are seeking fluent French-speaking freelancers based in Switzerland for flexible, short-term assignments across different sectors. Responsibilities may include administrative support, customer service, data entry, translation, quality content rating & reviewing, audio & video review, and other tasks as needed for various projects.
We are seeking fluent German-speaking freelancers based in Switzerland for a variety of flexible, short-term assignments across different sectors. Responsibilities may include administrative support, customer service, data entry, translation, quality content rating & reviewing, audio & video review, and other tasks as needed for various projects.
You will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech by labelling, ranking, auditing, and correcting text output. You will label and rank machine learning data, scrutinize and rectify any inaccuracies in language data, and complete reading and text-based assignments. Identify and suggest opportunities for improving data quality and model performance.