Remote AI Media Evaluator — English

Outlier

Charleston (WV)

Remote

USD 12,000 - 21,000

Full time

21 hours ago
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Benefits offered by this job

Fully remote work
Flexible hours
Weekly payments via ACH/PayPal/AirTM

Job summary

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will conduct live conversations with AI voice models, compare image and video outputs, and explain issues in writing from the comfort of your home.

This is a fully remote, flexible-hours contract that pays up to $15 per hour, with weekly payments via multiple methods. You’ll help shape how AI systems reason and improve, contributing to real-world performance through evaluation and feedback.

Qualifications

  • Fluent English speaker with clear written communication.
  • Strong attention to detail and careful listening/replay to spot issues.
  • Experience writing concise, evidence-based explanations or reviews.
  • Able to think on your feet and explain decisions when both options have flaws.
  • Nice to have: pursuing or holding a Bachelor’s degree or above.

Responsibilities

  • Hold live conversations with AI voice models and rate naturalness, usefulness, and clarity.
  • Compare AI-generated images and videos and judge how well they follow prompts.
  • Inspect outputs closely (zoom/replay) to spot problems like distorted anatomy, flicker, or audio-video mismatches.
  • Provide written explanations detailing what was observed for each interaction.

Skills

Fluent English
Attention to detail
Decision making under flaws
Written explanations
Adaptability

Education

Bachelor's degree or above

Job description

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will conduct live conversations with AI voice models, compare image and video outputs, and explain issues in writing from the comfort of your home.

This is a fully remote, flexible-hours contract that pays up to $15 per hour, with weekly payments via multiple methods. You’ll help shape how AI systems reason and improve, contributing to real-world performance through evaluation and feedback.

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