Wisedocs is a fast-growing, venture-backed AI platform that transforms how insurance companies analyze claims. With ~$20M USD raised, 100+ team members globally, and 90+ customers across North America and Australia, we’re doubling revenue year over year.
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises
Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search,
Join to apply for the English Language Data Annotator (British Columbia, remote) role at TransPerfect Work Location: British Columbia; remote Work Schedule: Full-time (40 hours/week), Monday – Friday; business hours Engagement Model: Employment; fixed term/temporary Start Date: Immediate
A leading localization company is looking for skilled AI Data Annotators to perform essential rating and annotation tasks. This part-time remote role requires proficiency in French-Canadian and advanced English skills. Candidates should showcase attention to detail, meet deadlines,
A global language solutions company is seeking a detail-oriented Hebrew Annotator for a remote role focused on transcribing and annotating data for AI initiatives. Candidates should be fluent in Hebrew and proficient in English, and have a Bachelors
A leading AI solutions company is seeking individuals for freelance data annotation roles. The position entails reviewing and labeling content as part of AI projects. Candidates should be skilled in Portuguese and advanced in English, possess strong
Remote Data Labeling Jobs in Canada (Full Time) Rex.zone supports AI/ML training pipelines through data labeling, RLHF evaluation, prompt evaluation, and QA checks. You will apply annotation guidelines compliance to improve training data quality for large language models and