AI Evaluator, English

Outlier

IndiaFresher1h agovia LinkedIn

About the Role

Outlier helps the world’s most innovative companies improve their AI models by providing human feedback.

About the Opportunity

  • Outlier is looking for talented, detail-oriented English speakers to help train generative AI voice, image, and video models.
  • This freelance opportunity is remote and hours are flexible.

Key Responsibilities

You may contribute your expertise by:

  • 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 doesn't match the video.
  • Rating each output across dimensions like adherence, quality, and realism, then writing a specific explanation in English that points to what you saw or heard.

Requirements & Tech Stack

What you'll need:

  • A computer with a reliable internet connection and headphones.
  • A quiet place to talk for projects that involve live conversation.
  • Your ratings and written explanations must be your own work; AI tools can't be used to write them.
  • Getting started includes a short screening and onboarding, which may include a brief spoken English check.

Qualifications

Examples of desirable expertise:

  • Fluent English speaker with strong, clear written communication and comfortable with natural, everyday conversational speech.
  • Pursuing or holding a Bachelor's degree or above.
  • Strong attention to detail, with the patience to look and listen closely, and to replay or zoom in when something seems off.
  • Comfortable thinking on your feet and talking through realistic situations in a natural, conversational way.
  • Experience writing short, evidence-based explanations or reviews.
  • Comfortable making a clear decision when both options have flaws.

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