AI Response Evaluator: Remote, Flexible, Free LLM Access

Outlier; Wilmington (DE); Remote; USD 20,000 - 29,000; Part time

Benefits offered by this job

Remote work from anywhere

Free access to leading LLMs

Weekly payments

Flexible hours

Job summary

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

Join Outlier to help shape how advanced AI systems reason, learn, and improve through evaluation and feedback loops that turn frontier research into practical AI improvements.

Qualifications

• Fluent English with clear written communication.
• Attention to detail and the ability to replay or zoom in when something seems off.
• Experience writing short, evidence-based explanations or reviews.
• Bachelor's degree or above is nice to have.

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

Clear written communication

Explainations writing

Comfortable natural conversation

Education

Bachelor's degree or above

Job description

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

Join Outlier to help shape how advanced AI systems reason, learn, and improve through evaluation and feedback loops that turn frontier research into practical AI improvements.