Remote AI Media Evaluator: Spot Issues & Improve Models

Outlier; Charlotte (NC); Hybrid; USD 17,000 - 24,000; Part time

Benefits offered by this job

Flexible hours

Remote work

Weekly payments

Free access to leading LLMs

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 and on your own schedule.

Work from home with flexible hours and weekly pay. You will assess how well outputs follow prompts, identify issues like distortions or mismatches, and write concise explanations in English to support model improvement.

Qualifications

• Fluent English with clear written communication and natural conversational style (<140 chars).
• Excellent attention to detail and ability to replay or review material carefully (<140 chars).
• Bachelor’s degree or higher preferred; not required for all projects (<140 chars).
• Ability to make clear decisions when options have flaws (<140 chars).
• Experience writing concise, evidence-based explanations or reviews (<140 chars).
• Eligible to work as a freelancer (1099) in your country (<140 chars).

Responsibilities

• Hold live, scenario-based conversations with AI voice models.
• Rank AI-generated media pairs for adherence to prompts.
• Inspect outputs for distortions, flicker, or audio/video mismatches.
• Write a concise English explanation of what looked or sounded off.
• Engage in image/video and caption labeling tasks as described.

Skills

Fluent English

Attention to detail

Clear written communication

Independent worker

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 and on your own schedule.

Work from home with flexible hours and weekly pay. You will assess how well outputs follow prompts, identify issues like distortions or mismatches, and write concise explanations in English to support model improvement.