Remote AI Media Evaluator — Live QA & Feedback

Outlier; Pasadena (CA); Remote; USD 17,000 - 24,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Up to $15/hr

Weekly payments (ACH/PayPal/AirTM)

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 in writing what looked or sounded off, all remotely on your own schedule.

Youll help shape how advanced AI systems reason and learn by evaluating outputs, spotting issues like distorted anatomy, flickering, or misaligned audio, and rating them on adherence, quality and realism.

Qualifications

• Fluent English with strong written communication.
• Strong attention to detail and ability to replay or zoom in to spot issues.
• Bachelors degree or higher.
• Ability to make clear decisions when options have flaws.
• Experience writing concise, evidence-based 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 doesnt match the video.
• Rating each output across dimensions like adherence, quality, and realism and writing a specific explanation in English.

Skills

Fluent English

Attention to detail

Clear written communication

Decision making

Education

Bachelors 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 in writing what looked or sounded off, all remotely on your own schedule.

Youll help shape how advanced AI systems reason and learn by evaluating outputs, spotting issues like distorted anatomy, flickering, or misaligned audio, and rating them on adherence, quality and realism.