Remote AI Data Annotator (English) - Flexible Hours

Outlier

Flagstaff (AZ)

Remote

USD 12,000 - 21,000

Part time

21 hours ago
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Benefits offered by this job

Up to $15/hr
Missions bonus
Flexible schedule
Remote work

Job summary

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will conduct live conversations with AI voice models, compare image and video pairs, and explain what’s off, all remotely and on your own schedule.

Work from home or while traveling, with weekly payments and access to leading LLMs. Ideal for those who enjoy careful analysis, clear explanations, and making AI systems more reliable.

Qualifications

  • Fluent English speaker with strong, clear written communication.
  • Excellent attention to detail and the ability to replay or zoom in on details.
  • Experience writing concise, evidence-based explanations.
  • Ability to think on your feet and explain realistic scenarios clearly.
  • Willingness to pursue or hold a Bachelor’s degree or higher.

Responsibilities

  • Holding a live, scenario-based conversation in English with AI voice models.
  • Ranking how natural, useful, and clear each exchange sounded.
  • Comparing AI-generated images and videos and judging adherence to prompts.
  • Inspecting outputs closely to spot issues like distortions, flickering, or audio-video mismatches.
  • Writing a specific English explanation that points to what you saw or heard.

Skills

Fluent English
Attention to detail
Clear written communication
Thinking on your feet
Evidence-based explanations
Decision making under ambiguity

Education

Bachelor's degree or above

Job description

Outlier is seeking detail-oriented English speakers to review AI-generated media. You will conduct live conversations with AI voice models, compare image and video pairs, and explain what’s off, all remotely and on your own schedule.

Work from home or while traveling, with weekly payments and access to leading LLMs. Ideal for those who enjoy careful analysis, clear explanations, and making AI systems more reliable.

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