Project Saiph - Podcast Content Reviewer - Traditional Chinese (Taiwan)

Sorry, this job was removed at 06:16 a.m. (UTC) on Thursday, Jun 25, 2026
Be an Early Applicant
Hiring Remotely in Taiwan
Remote
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
The Role
We are looking for qualified candidates to participate in our new project. Podcast Content Review project for Client— a key collaboration aimed at ensuring compliance with Client Podcasts content guidelines.
 
1. Project Overview & Job Responsibilities​
 
Core Task: Evaluate podcasts in your native language, focusing on four key areas as per Client's guidelines:​
Metadata accuracy
Explicit content tagging 
Rights infringement checks
Design quality of podcast artwork
 
Workload: about 20 hours per month per language pairing​
Locale & Rate: Traditional Chinese (Taiwan), $18/hour
 
Candidates who meet the application requirements need to undergo two rounds of interviews.
 
2. Mandatory Requirement (Non-negotiable)​
 
This role requires access to a functional MacBook/Mac deviceWithout a MacBook/Mac, you will not be able to perform the required tasks, so please confirm this prerequisite carefully.​

To Apply:
  
Why Join Welo Data? 
✨ Limitless Flexibility: Projects that fit your schedule. 
🌱 Limitless Growth: Apply your expertise while exploring how AI impacts your industry. 
🌍 Limitless Support: Be part of a global network of contributors. 
 
About Welo Data 
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. 
 
At Welo Data, Limitless AI. Limitless You. It’s not just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. 
Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis.

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