AI Training Contributor - Mandarin/Simplified Chinese - Remote

LILT (Production) · Remote · Taiwan (Remote) · Canada (Remote) · Australia (Remote) · China (Remote) · USA (Remote) · UK (Remote) ·
Fully remoteContractMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Native Mandarin required
  • Fully remote
  • Flexible schedule
  • Contractor role
  • AI evaluation

Join LILT as an AI Training Contributor to help refine language models through detailed evaluation. You will review prompts, correct text, and analyze multimedia outputs to ensure they meet high standards of accuracy and cultural relevance. This position is ideal for linguists seeking flexible, project-based work.

What you'll do

  • Evaluate AI-generated outputs for accuracy and clarity
  • Review and correct text based on local cultural norms
  • Analyze multimedia content including audio and video
  • Provide structured annotations for model improvement
  • Identify visual artifacts, translation errors, or style issues
  • Participate in calibration and quality assurance processes

What you'll need

  • Native fluency in Mandarin (Simplified Chinese)
  • Strong command of written and spoken English
  • Ability to follow detailed guidelines consistently
  • High attention to detail and analytical skills
  • Comfortable working with textual and audio/video materials
  • Reliable availability for minimum 10 hours per week

Nice to have

  • Previous experience as an AI reviewer or annotator
  • Familiarity with SuperAnnotate platform

Stack

  • SuperAnnotate

How you'll work

  • Fully remote location
  • Independent contractor status (1099)
  • Flexible hours with no fixed schedule
  • Minimum commitment of 10 hours per week
  • Not suitable as a primary full-time income source

What you get

  • Competitive rates with prompt payments
  • Access to diverse AI and language projects
  • Opportunity to expand professional portfolio
  • Priority project access for top contributors

Hiring process

  • Submit application with CV in English
  • Complete assessment on SuperAnnotate
  • Finalize onboarding and profile setup