Please submit your resume in English and indicate your level of English. At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. What we do
Alabang (96050), Philippines, Muntinlupa City, National Capital Region (Manila) Data Annotator Summary: The Emerging Technologies Enablement Team (ETE) performs data labeling tasks that support machine learning model and AI development within the Tech organization and across Capital One. This
Please submit your resume in English and indicate your level of English. At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. What we do
Please submit your resume in English and indicate your level of English. At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. What we do
About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the
Please submit your resume in English and indicate your level of English. At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. What we do
ABOUT THE ROLE HHR Talent is building a team of freelance Filipino-language data annotators for a long-term AI project — and we are selective about who joins it, because the people on this project stay with it. The
Make your next big career move by applying as KMC Solutions next JAPANESE-SPEAKING ANNOTATOR & SOFTWARE TESTER! The Japanese-Speaking Annotation & Software Tester is responsible for executing annotation tasks and conducting comprehensive testing across product features to
About the Role As a Senior AI/LLM Engineer, you will lead our efforts to train, align, and optimize large language models. You will own the full post-training pipeline from supervised fine-tuning through reward modeling and RL