AI Feedback Specialist — Remote, Flexible Schedule

Outlier; Des Moines (IA); Remote; USD 15,000 - 25,000; Full time

Benefits offered by this job

Fully remote work

Flexible hours

Free access to leading LLMs

Job summary

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will roleplay live conversations with an AI voice model, score exchanges, and explain in writing what looked or sounded off, all remotely and on your own schedule.

At Outlier, your expertise helps shape how advanced AI systems reason, learn, and improve through evaluation and feedback that guides frontier research into practical, real-world performance.

Qualifications

• Fluent English with strong, clear written communication.
• Excellent attention to detail and ability to replay/zoom in when needed.
• Bachelor's degree or above preferred.
• Comfortable thinking on your feet and discussing realistic situations naturally.
• Experience writing concise, evidence-based explanations or reviews.
• Capable of making a clear decision when both options have flaws.

Responsibilities

• Hold live, scenario-based conversations in English with AI voice models, then rank how natural, useful, and clear each one sounded.
• Compare AI-generated images and videos and judge which one better follows the prompt.
• Inspect outputs closely to spot problems like distorted anatomy, flickering or unnatural motion, text errors, and audio-video mismatches.
• Write a specific English explanation that points to what you saw or heard.

Skills

Fluent English

Attention to detail

Clear writing

Comfortable discussing real scenarios

Experience writing reviews

Education

Bachelor's degree or above

Job description

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will roleplay live conversations with an AI voice model, score exchanges, and explain in writing what looked or sounded off, all remotely and on your own schedule.

At Outlier, your expertise helps shape how advanced AI systems reason, learn, and improve through evaluation and feedback that guides frontier research into practical, real-world performance.