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Data Annotation Contractor - Remote

Posted 3 days ago
Data Analysis
Contract
USA
$45/hour

Overview

Mercor is collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. This engagement is expected to run through the end of October, with the possibility of extension until the end of the year. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.

In Short

  • Synthesize information from large volumes of data
  • Annotate and categorize text, images, and other data according to detailed guidelines
  • Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
  • Flag inconsistencies, ambiguities, or errors in datasets
  • Contribute to the improvement of AI systems through consistent annotation work

Requirements

  • Based in the United States
  • Ability to synthesize complex or high-volume information into structured formats
  • Strong critical reasoning, reading comprehension, and written communication skills
  • Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
  • Remote and asynchronous: contractors set their own schedules
  • Expected commitment: ~20 hours/week
  • Project duration: through the end of October, with potential to extend through year-end

Benefits

  • $45/hour for U.S.-based contractors
  • Payments issued weekly via Stripe Connect
  • Contractors are classified as independent service providers
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Mercor

HelixRecruit is a forward-thinking recruitment firm specializing in connecting talent with innovative companies. They focus on providing opportunities for individuals to engage in data annotation projects that enhance artificial intelligence systems. With a commitment to flexibility, HelixRecruit offers remote and asynchronous work arrangements, allowing contractors to set their own schedules while contributing to meaningful projects. The company values detail-oriented generalists and encourages applicants from diverse educational backgrounds, including students and early career professionals.

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