AI Quality Evaluator — Remote, Flexible + Free LLM Access

Outlier; New Orleans (LA); Remote; USD 20,000 - 29,000; Part time

Benefits offered by this job

Flexible hours

Remote work from anywhere

Free access to leading LLMs

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, remotely on your schedule.

Work from home with flexible hours and weekly payments. You’ll gain free access to leading LLMs and contribute to improving AI systems by identifying artifacts, misalignments, and issues in outputs.

Qualifications

• Fluent English speaker with clear written communication.
• Strong attention to detail and ability to replay/zoom in when something seems off.
• Pursuing or holding a Bachelor's degree or above.
• Experience writing short, evidence-based explanations or reviews.

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

Attention to detail

Written explanations

Decision making

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, remotely on your schedule.

Work from home with flexible hours and weekly payments. You’ll gain free access to leading LLMs and contribute to improving AI systems by identifying artifacts, misalignments, and issues in outputs.