Remote English AI Output Quality Evaluator

Outlier (by Scale AI); City Of London; Remote; GBP 12,000 - 18,000; Full time

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 compare generated images and videos to judge prompt adherence—all remotely on your own schedule.

You will explain in writing what looked or sounded wrong, rating adherence, quality, and realism, and you will provide concise, evidence-based feedback to help improve future AI systems.

Qualifications

• Fluent English speaker with strong, clear written communication.
• Excellent attention to detail and patience to replay or zoom in when something seems off.
• Ability to think on your feet and describe situations clearly in writing.
• Nice to have: pursuing or holding a Bachelor's degree or above.

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

Attention to detail

Decision making

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 compare generated images and videos to judge prompt adherence—all remotely on your own schedule.

You will explain in writing what looked or sounded wrong, rating adherence, quality, and realism, and you will provide concise, evidence-based feedback to help improve future AI systems.