AI Media Quality Evaluator — Remote & Flexible

Outlier

West Lafayette (IN)

Hybrid

USD 15,000 - 25,000

Full time

27 hours ago
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Benefits offered by this job

Fully remote work
Flexible hours
Weekly payments
Free access to leading LLMs

Job summary

Outlier is seeking detail-oriented English reviewers to evaluate AI-generated media from the comfort of your home. You will roleplay live conversations with AI voice models, compare outputs, and explain what looked off in writing.

Flexible, fully remote work with no minimum hours. Earn up to $18 per hour, paid weekly, and enjoy free access to leading LLMs while contributing to frontier AI research.

Qualifications

  • Fluent English with clear written communication.
  • Strong attention to detail and the ability to replay or zoom in when something seems off.
  • Pursuing or holding a Bachelor's degree or above.
  • Comfortable thinking on your feet and explaining decisions in a natural, conversational way.
  • Experience writing concise, evidence-based explanations.

Responsibilities

  • Holding live, scenario-based conversations with AI voice models and ranking how natural, useful, and clear each one sounded.
  • Comparing AI-generated images and videos and judging which follows the prompt best.
  • Inspecting outputs closely, including zooming and replaying, to spot problems like distortions, flickering, or audio-video mismatches.
  • Writing a specific English explanation that points to what was seen or heard.

Skills

Fluent English
Attention to detail
Clear written communication
Reasoning on your feet
Experience writing reviews
Decision making under ambiguity

Education

Bachelor's degree or above

Job description

Outlier is seeking detail-oriented English reviewers to evaluate AI-generated media from the comfort of your home. You will roleplay live conversations with AI voice models, compare outputs, and explain what looked off in writing.

Flexible, fully remote work with no minimum hours. Earn up to $18 per hour, paid weekly, and enjoy free access to leading LLMs while contributing to frontier AI research.

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