AI Media Quality Auditor — Remote & Flexible Hours

Outlier; Santa Fe (NM); Remote; USD 20,000 - 29,000; Full time

Benefits offered by this job

Flexible hours

Fully remote

Free LLM access

Weekly payments

Job summary

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will hold live conversations with AI voice models, compare image and video pairs, and explain what’s off, all remotely and on your own schedule.

Rate up to $18 USD/hr, with weekly payments. Access to leading LLMs worth $200+/month. You can work from home or while traveling, contributing to a frontier research feedback loop that helps AI perform better in the real world.

Qualifications

• Fluent English with clear written communication.
• Strong attention to detail and accuracy.
• Experience writing concise explanations.
• Willingness to work remotely on a flexible schedule.

Responsibilities

• Holding live, scenario-based conversations 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

Attention to detail

Clear written communication

Explain findings concisely

Live conversation comfort

Education

Bachelor's degree or above

Job description

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will hold live conversations with AI voice models, compare image and video pairs, and explain what’s off, all remotely and on your own schedule.

Rate up to $18 USD/hr, with weekly payments. Access to leading LLMs worth $200+/month. You can work from home or while traveling, contributing to a frontier research feedback loop that helps AI perform better in the real world.