Remote AI Media Evaluator: Voice, Image & Video QA

Outlier; Nashville (TN); Remote; USD 15,000 - 25,000; Full time

Benefits offered by this job

Free access to leading LLMs

Flexible schedule

Remote work from anywhere

Job summary

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

You will help shape how advanced AI systems reason, learn, and improve. Your work feeds into Outlier’s evaluation loop to enhance AI performance in real-world use cases.

Qualifications

• Fluent English with strong, clear written communication and comfortable with natural, everyday conversational speech.
• Strong attention to detail, with the patience to look and listen closely, and to replay or zoom in when something seems off.
• Bachelor's degree or above preferred.

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

Clear written communication

Natural conversational speaking

Attention to detail

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, compare AI-generated media, and explain in writing what looked or sounded off, all remotely and on your own schedule.

You will help shape how advanced AI systems reason, learn, and improve. Your work feeds into Outlier’s evaluation loop to enhance AI performance in real-world use cases.