AI Media Quality Evaluator — Remote & Flexible Hours

Outlier; North Las Vegas (NV); Remoto; USD 20.000 - 29.000; Tempo pieno

Vantaggi offerti da questo lavoro

Earn up to $18 USD/hr

Work flexibly from anywhere

Free access to leading LLMs

Missions surge pricing

Descrizione del lavoro

Outlier is seeking detail-oriented English speakers to review AI-generated media and participate in live conversations with AI voice models. You will score exchanges, compare image/video pairs for prompt adherence, and explain in writing what looked off, all remotely and on your own schedule.

At Outlier, your expertise helps shape how AI systems reason, learn, and improve through evaluation and feedback, contributing to frontier research becoming practical AI.

Competenze

• Fluent English with strong written communication.
• Detail-oriented with keen listening and careful review of media outputs.
• Comfortable in natural, everyday conversational settings.
• Experience writing concise, evidence-based explanations or reviews.
• Able to make clear decisions when multiple options have flaws.

Mansioni

• Holding live, scenario-based conversations with AI voice models; rank naturalness, usefulness and clarity.
• Compare AI-generated images and videos; judge which better follows the prompt.
• Inspect outputs closely to spot problems like distorted anatomy, flickering, or mismatched audio/video.
• Rate outputs across dimensions and write a specific explanation in English highlighting what was seen or heard.

Conoscenze

Fluent English

Attention to detail

Clear written comms

Conversational speaking

Review writing

Decision making

Formazione

Bachelor's degree or above

Descrizione del lavoro

Outlier is seeking detail-oriented English speakers to review AI-generated media and participate in live conversations with AI voice models. You will score exchanges, compare image/video pairs for prompt adherence, and explain in writing what looked off, all remotely and on your own schedule.

At Outlier, your expertise helps shape how AI systems reason, learn, and improve through evaluation and feedback, contributing to frontier research becoming practical AI.