Project Associate (Taiwanese Speaker) at TDCX SG PTE LTD
, , Malaysia -
Full Time


Start Date

Immediate

Expiry Date

13 May, 26

Salary

14.0

Posted On

12 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Taiwanese Language, English Proficiency, Project Management, Operations Management, Attention to Detail, Quality Assurance, Communication Skills, Interpersonal Skills, Google Workspace, Time Management, Fast Learner, Self-Driven, Organizational Skills, Team Management, Problem Solving, Data Annotation

Industry

Outsourcing and Offshoring Consulting

Description
As a Part-Time Project Associate, you will support the Delivery Team at Chemin, working closely with our Project Delivery Executives to ensure the successful execution of Taiwanese-language AI data annotation projects. In this role, you will be responsible for operational delivery and quality oversight, acting as the main point of contact for Taiwanese-speaking annotators. As the internal team does not speak Taiwanese, this role is critical in ensuring that annotations meet quality standards before submission to clients. You will report to the Project Delivery Executive and play a hands-on role in managing people, processes, and quality across ongoing projects that support AI advancements across multiple industries. Work Arrangements Fully remote or hybrid (option to work from our Damansara Heights office - Kuala Lumpur, on Mondays and Fridays) Comfortable aligning with Taiwanese timezone/work hours when required for project coordination Minimum contract period: 3 months (renewable based on performance) Immediate availability required (target start: February 2026 onwards) Responsibilities Your primary focus will be supporting operations within the Project Delivery function, including: Providing day-to-day operational support to ensure Taiwanese-language projects are delivered on time and to a high standard Assisting with project setup, planning, and guideline development Managing and supporting a remote team of Taiwanese-speaking annotators Acting as the language quality gatekeeper for Taiwanese annotations, ensuring submissions meet required accuracy and quality thresholds (target: 95%) Guiding annotators through questions and challenges via internal communication platforms Performing detailed quality checks to catch language, formatting, and annotation errors before client submission Handling project administration tasks in line with internal and client standards Communicating clearly with internal stakeholders on project progress, risks, and quality issues Fluent in Taiwanese (Native or TOCFL Band C required) Strong proficiency in written and spoken English 0–2 years of experience in project management, operations, or people management in any capacity Prior experience managing tasks, timelines, or contributors (work, internship, freelance, or extracurricular) Strong attention to detail and ability to identify language and annotation errors Fast learner, self-driven, and comfortable working in fast-paced project environments Excellent organizational, planning, and time management skills Strong communication and interpersonal skills, especially when guiding remote contributors Technically competent in Google Workspace, particularly spreadsheets Bonus (Nice to Have) Experience working on data annotation, language, or AI-related projects Background in linguistics, language studies, or similar fields Prior experience working with or for AI/data companies or competitors Proficiency in additional languages Be part of one of Malaysia’s exciting AI-enabled companies in the tech industry Earn RM14 per hour, with flexible hours depending on project workload Work in a collaborative, fast-growing environment where your work has real impact Receive regular performance feedback and career development support Gain hands-on experience supporting global AI projects Use Chemin as a platform to showcase your skills and drive real results

How To Apply:

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Responsibilities
You will support the Delivery Team by managing Taiwanese-language AI data annotation projects, ensuring operational delivery and quality oversight. This includes guiding annotators, performing quality checks, and communicating project progress to internal stakeholders.
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