Remote AI Media Evaluator: Spot Flaws & Improve Models

Outlier

Atlanta (GA)

A distancia

USD 20.000 - 29.000

Jornada completa

hace 26 horas
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Ventajas ofrecidas por este puesto de trabajo

Hourly pay up to $18
Flexible hours, work from anywhere
Free access to leading LLMs
Performance incentives

Descripción de la vacante

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

At Outlier, your expertise helps shape how AI systems reason and improve. This work feeds frontier research into real-world AI performance improvements.

Formación

  • Fluent English with clear written communication.
  • Strong attention to detail and ability to replay or zoom in on outputs.
  • Experience writing concise, evidence-based explanations.
  • Comfortable think-on-your-feet in realistic scenarios.
  • Bachelor's degree or above is a plus.

Responsabilidades

  • Holding live, scenario-based conversations in English with AI voice models and ranking naturalness and usefulness.
  • Comparing AI-generated images and videos and judging which follows prompts better.
  • Inspecting outputs closely to spot issues like distortions, flicker, or misalignment.
  • Writing explanations in English that point to observed problems and reasoning.

Conocimientos

Fluent English
Attention to detail
Clear written communication
Conversational speaking
Evidence-based writing
Decision making under ambiguity

Educación

Bachelor's degree or above

Descripción del empleo

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

At Outlier, your expertise helps shape how AI systems reason and improve. This work feeds frontier research into real-world AI performance improvements.

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