Chemin AI

HQ
Singapore
Total Offices: 2
28 Total Employees
Year Founded: 2025

Teams at Chemin AI

Recently posted jobs

YesterdaySaved
Remote
Federal Territory of Kuala Lumpur, MYS
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Software
Supports delivery of AI data annotation projects by coordinating annotators, timelines, workflows, documentation, quality checks, and project communications. Assists with Mandarin and Cantonese language data, responds to questions, monitors risks and progress, clarifies requirements, and supports client updates. The role emphasizes organization, initiative, ownership, remote coordination, and developing practical project management skills.
22 Days AgoSaved
Remote
Federal Territory of Kuala Lumpur, MYS
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Software
Research AI, machine learning, robotics, autonomous vehicles, and data annotation topics, then create technical blogs, case studies, explainers, whitepapers, and thought leadership content. Translate complex concepts into clear, commercially relevant narratives for enterprise audiences. Collaborate with technical, Growth, and Marketing teams, incorporate editorial feedback, optimize content for readability and SEO, source supporting research, and maintain consistent messaging across digital channels.
25 Days AgoSaved
In-Office
Kuala Lumpur, WP. Kuala Lumpur, Kuala Lumpur, MYS
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Software
Supports project delivery operations for data-labeling projects serving autonomous vehicle, robotics, and AI clients. Responsibilities include project setup, planning, administrative coordination, annotator support, quality checks, progress reporting, risk escalation, and workflow improvement. The role requires strong organization, communication, spreadsheet proficiency, attention to detail, and the ability to manage multiple tasks independently in a remote or hybrid environment.