Remote AI Evaluator - English Speaker (Flexible Hours)

Outlier; Eugene (OR); Remote; USD 17,000 - 24,000; Part time

Benefits offered by this job

Free access to leading LLMs

Job summary

Outlier is offering a remote, flexible, freelance evaluation role where you’ll review AI-generated media and provide precise written feedback. Earn up to $15/hour with weekly payments and bonus incentives, all on your own schedule from anywhere.

This 1099 contract opportunity supports your ability to work remotely while contributing to frontier AI research and real-world performance. You'll examine conversations with AI voice models, compare outputs, and explain what looked off, helping improve

Qualifications

• Fluent English with clear written communication.
• Strong attention to detail and ability to replay or zoom in when something seems off.
• Experience writing short, evidence-based explanations or reviews.

Responsibilities

• Holding a live, scenario-based conversation in English with AI voice models and ranking how natural, useful, and clear each one sounded.
• Comparing AI-generated images and videos and judging which one better follows the prompt.
• Inspecting outputs closely, including zooming in and replaying, to spot problems like distorted anatomy, flickering or unnatural motion, text errors, and audio that doesn't match the video.
• Rating each output across dimensions like adherence, quality, and realism and writing a detailed explanation in English.

Skills

Fluent English

Attention to detail

Clear written communication

Education

Bachelor's degree

Job description

Outlier is offering a remote, flexible, freelance evaluation role where you’ll review AI-generated media and provide precise written feedback. Earn up to $15/hour with weekly payments and bonus incentives, all on your own schedule from anywhere.

This 1099 contract opportunity supports your ability to work remotely while contributing to frontier AI research and real-world performance. You'll examine conversations with AI voice models, compare outputs, and explain what looked off, helping improve