Mandarin Data Ops Associate (Part-Time, Remote)

Chemin AI; Kuala Lumpur; Hybrid; MYR 36,000 - 58,000; Part time

Job summary

Chemin AI is seeking a Part-Time Project Associate to support the Delivery Team in managing AI data annotation projects, particularly Mandarin/Cantonese language data. You will report to the Head of Delivery and work with Project Delivery Executives to ensure high-quality outputs for clients.

The role involves operational management of client projects, developing labeling execution understanding, and strong project/people management, with the option for remote or hybrid work in Malaysia.

Qualifications

• Entry-level, 0–2 years of experience in project management.
• Proficiency in Mandarin, including reading, writing and speaking.
• Possess or working towards a degree such as Business Studies, Engineering, BA, or related field.
• Technically proficient with Google Suites, especially spreadsheets.

Responsibilities

• Provide operational support to Project Delivery Executives to ensure timely, high-quality completion of projects.
• Assist with setup of projects and development of project guidelines and plans.
• Complete project administrative tasks in line with client and internal standards.
• Guide remote annotators and resolve project-specific queries via internal platforms.
• Perform thorough quality checks and provide daily progress updates to the Project Manager; flag risks and blockers.
• Identify and propose improvements to workflows and processes.

Skills

Mandarin fluency

English communication

Google Suites

Time management

Organizational skills

Education

Bachelor’s degree or pursuing studies

Tools

Google Sheets

Job description

Chemin AI is seeking a Part-Time Project Associate to support the Delivery Team in managing AI data annotation projects, particularly Mandarin/Cantonese language data. You will report to the Head of Delivery and work with Project Delivery Executives to ensure high-quality outputs for clients.

The role involves operational management of client projects, developing labeling execution understanding, and strong project/people management, with the option for remote or hybrid work in Malaysia.