AI Training Contributor - Turkish - Remote

LILT (Production) · Remote · Turkey (Remote) ·
Fully remoteContractMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • Turkish native speaker
  • Independent contractor
  • Flexible schedule
  • AI evaluation

Join LILT as an AI Training Contributor to support the development of multilingual AI technologies. You will evaluate prompts, correct text, analyze multimedia, and provide voice recordings, applying local cultural insights to ensure high-quality results.

This position operates on a flexible schedule with no fixed hours, allowing you to work as much or as little as desired. It is designed as a supplemental income stream rather than a full-time job, requiring reliable availability for assigned tasks.

What you'll do

  • Evaluate prompts and AI-generated outputs for accuracy and clarity
  • Review and correct text while ensuring cultural appropriateness
  • Analyze multimedia content and contribute voice recordings
  • Provide structured annotations to improve AI models
  • Apply evaluation guidelines consistently during QA processes

What you'll need

  • Native fluency in Turkish
  • Strong command of English
  • Ability to follow detailed guidelines accurately
  • Comfortable working with text, audio, and video materials
  • High attention to detail for content categorization

Nice to have

  • Experience as an AI reviewer, annotator, or evaluator

How you'll work

  • Independent contractor status (1099)
  • No fixed hours or micromanagement
  • Minimum commitment of 2 hours daily or 10 hours weekly
  • Supplemental income, not suitable as primary job
  • Contractors responsible for their own tax obligations

What you get

  • Competitive rates with prompt payments
  • Access to diverse and innovative AI projects
  • Opportunity to unlock higher rates for top contributors
  • Join a global community of language professionals

Hiring process

  • Submit application with updated CV in English
  • Complete short assessment in SuperAnnotate
  • Finalize onboarding and profile setup in system