Remote AI Media Evaluator — Live English Reviews

Outlier; Corvallis (OR); À distance; USD 20 000 - 29 000; Plein temps

Avantages offerts par ce poste

Flexible hours

Work from anywhere

Free access to leading LLMs

Weekly payments

Résumé du poste

Outlier is seeking detail-oriented English speakers to review AI-generated media from a fully remote setup. You will participate in live conversations with AI voice models, compare AI-generated media, and explain what looked or sounded off in writing.

You can work on your own schedule, earning up to $18 per hour, with weekly payments and access to top LLMs. This flexible role helps improve AI systems by identifying errors in real-world scenarios.

Qualifications

• Fluent English with clear written communication.
• Detail-oriented with the ability to zoom in on outputs.
• Pursuing or holding a Bachelor's degree or above.
• Able to think on your feet and discuss realistic scenarios.
• Experience writing concise, evidence-based reviews.
• Able to decide when both options have flaws.

Responsabilités

• Hold live conversations with AI voice models and rate naturalness and clarity.
• Compare AI-generated images and videos and judge prompt adherence.
• Inspect outputs closely to spot issues like artifacts, flicker, or misalignment.
• Write focused explanations in English citing what was observed.
• Complete tasks across image, video and audio evaluation scenarios.

Connaissances

Fluent English

Attention to detail

Clear written communication

Pursuing Bachelor's degree

Explain judgments clearly

Formation

Bachelor's degree or above

Description du poste

Outlier is seeking detail-oriented English speakers to review AI-generated media from a fully remote setup. You will participate in live conversations with AI voice models, compare AI-generated media, and explain what looked or sounded off in writing.

You can work on your own schedule, earning up to $18 per hour, with weekly payments and access to top LLMs. This flexible role helps improve AI systems by identifying errors in real-world scenarios.