AI Media Evaluator: Voice & Video (Remote)

Outlier; Port Saint Lucie (FL); Remote; USD 20,000 - 29,000; Full time

Benefits offered by this job

Earn up to $18 USD/hr

Flexible schedule

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 and score each exchange, compare generated images and videos to judge which follows the prompt better, and explain in writing what looked or sounded wrong, all remotely and on your own schedule.

Join Outlier to help shape how advanced AI systems reason, learn, and improve through evaluation and feedback.

Qualifications

• Fluent English with clear written communication.
• Strong attention to detail and patience to replay or zoom in when something is off.
• Bachelor's degree or above preferable.

Responsibilities

• Holding a live, scenario-based conversation in English with AI voice models, then ranking how natural, useful, and clear each one sounded.
• Comparing pairs of 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, then writing a specific explanation in English that points to what you saw or heard.

Skills

Fluent English

Strong written communication

Attention to detail

Clear decision making

Written explanations

Education

Bachelor's degree or higher

Job description

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will roleplay live conversations with an AI voice model and score each exchange, compare generated images and videos to judge which follows the prompt better, and explain in writing what looked or sounded wrong, all remotely and on your own schedule.

Join Outlier to help shape how advanced AI systems reason, learn, and improve through evaluation and feedback.