Jobgether

Jobgether

Project Epsilon - Chinese Quality Control Specialist

Canada · Contract

Sponsorship not specifiedDetected 1 day ago
NLPComplianceCommunicationCollaborationCritical Thinking

About the role

  • The role requires strong attention to detail, critical thinking, and the ability to apply quality standards consistently.
  • Your expertise will directly contribute to improving the accuracy and effectiveness of AI-powered solutions.

Responsibilities

  • Provide clear feedback and corrections to support continuous improvement of data quality.
  • Join a global contributor community with ongoing support and guidance.

Requirements

  • The ideal candidate is meticulous, analytical, and experienced in reviewing information with a strong focus on accuracy.
  • Success in this role requires excellent language skills, attention to detail, and the ability to provide constructive feedback while following structured guidelines.
  • Native or strong proficiency in Chinese.
  • Bachelor's degree required.
  • Ability to apply guidelines and evaluation criteria consistently.
  • Previous experience in quality assurance, quality control, editing, proofreading, data review, data annotation, or data labeling is an asset.

Skills

  • This position is ideal for individuals with strong language skills who enjoy quality assurance, analysis, and technology-driven projects.

Compensation

  • Competitive compensation of $50.40/hour.

Benefits

  • Flexible project-based work format.

Company info

  • We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
  • Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
  • The final decision and next steps (interviews, assessments) are managed by their internal team.
  • We appreciate your interest and wish you the best!
  • Why Apply Through Jobgether?

This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.