Project Epsilon - Chinese Quality Control Specialist

Posted One Month Ago
Be an Early Applicant
3 Locations
Remote
50-50 Hourly
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
The Role
Review trainers' completed annotation tasks comparing questions, images, and golden answers to verify correctness. Flag incorrect, ambiguous, or inconsistent responses, provide constructive feedback, track recurring errors, ensure outputs meet quality standards, and escalate unclear cases to the project team.
Summary Generated by Built In

About the Role 

We are looking for detail-oriented Quality Control (QC) Specialist to support an AI data annotation project. In this role, you will review the work submitted by Trainers — pre-seeded questions paired with images and their corresponding "golden" answers — to confirm accuracy, consistency, and adherence to project guidelines. 

This is a task-based, remote-friendly opportunity ideal for individuals who are highly meticulous, observant, and skilled at spotting errors or inconsistencies that others may miss. 

What You'll Do 

  • Review completed tasks submitted by Trainers, including the original question, the image, and the golden answer provided 
  • Independently verify whether the golden answer is correct based on the image 
  • Identify and flag incorrect, incomplete, ambiguous, or inconsistent answers 
  • Provide clear, constructive feedback or corrections to help maintain overall data quality 
  • Track recurring error patterns and report them to the project team 
  • Ensure Trainer output meets the project's quality bar before final sign-off 
  • Escalate unclear cases (e.g., illegible images, ambiguous questions) to the project team for resolution 

What We're Looking For 

  • Native/Strong proficiency at Chinese  
  • Bachelor's degree required  
  • Excellent attention to detail and a strong quality mindset 
  • Good visual observation and reading comprehension skills 
  • Ability to apply guidelines/rubrics consistently and objectively 
  • Strong written English communication skills, especially for giving feedback 
  • Prior experience in quality assurance, quality control, editing, proofreading, data review, data annotation or data labeling is a plus 
  • Reliable access to a computer and internet connection 

Work Format & Compensation 

  • Work Type: freelance, remote  
  • Hours/Schedule: 20 hours per week  
  • Compensation: $50.4/hr  
  • Duration: Long-term  

Why Join Welo Data?  

✨ Limitless Flexibility  

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.   

🌱 Limitless Growth  

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.   

🌍 Limitless Support  

Be part of a global contributor community with responsive guidance and support.   

💡 Real Impact  

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.  

How to Apply? 

Apply now by answering a few quick questions to join our database and become part of our growing community. 

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. isn’t 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. 

Skills Required

  • Native/Strong proficiency at Chinese
  • Bachelor's degree
  • Excellent attention to detail and a strong quality mindset
  • Good visual observation and reading comprehension skills
  • Ability to apply guidelines/rubrics consistently and objectively
  • Strong written English communication skills for providing feedback
  • Prior experience in quality assurance, quality control, editing, proofreading, or data review
  • Reliable access to a computer and internet connection
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The Company
6,543 Employees

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