Remote AI Annotation Specialist — Image & Video Eval

Outlier

Laredo (TX)

Remoto

USD 17.000 - 24.000

Tempo pieno

21 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Fully remote
Flexible schedule
Weekly payments via ACH/PayPal/AirTM
Free access to leading LLMs

Descrizione del lavoro

Outlier is hiring detail-oriented English speakers to review AI-generated media. You will role-play live conversations with AI voice models, compare AI-generated images and videos, and explain in writing what looked or sounded off.

This remote, flexible role lets you choose your schedule and get paid for your insights. We provide access to leading LLMs and a chance to contribute to frontier AI research by evaluating model outputs and offering precise feedback to help improve real-world

Competenze

  • Fluent English with clear written communication.
  • Strong attention to detail and ability to replay or zoom in when something seems off.
  • Nice to have: pursuing or holding a Bachelor's degree or above.

Mansioni

  • Holding live, scenario-based conversations in English with AI voice models, then ranking how natural each sounded.
  • Comparing AI-generated images and videos, judging which better follows the prompt.
  • Inspecting outputs closely to spot problems like distortions, flickering, or audio-video misalignment.
  • Rating outputs across dimensions and writing explanations in English referencing what you saw or heard.

Conoscenze

Fluent English
Attention to detail
Clear writing
Live conversations

Formazione

Bachelor's degree or above

Descrizione del lavoro

Outlier is hiring detail-oriented English speakers to review AI-generated media. You will role-play live conversations with AI voice models, compare AI-generated images and videos, and explain in writing what looked or sounded off.

This remote, flexible role lets you choose your schedule and get paid for your insights. We provide access to leading LLMs and a chance to contribute to frontier AI research by evaluating model outputs and offering precise feedback to help improve real-world

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