Data Annotator, Asian Studies Expert Contributor

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Snorkel AI

📍Remote - United States

Summary

Join Snorkel AI as an Expert Contributor and contribute to a groundbreaking open-source benchmark advancing AI frontiers. This remote, flexible role involves creating and reviewing reasoning tasks for an AI benchmark focused on complex reasoning. You will work within a cohort, participating in live learning sessions and earning based on a task-based structure. The project is estimated to last 3 months, requiring approximately 5+ hours per week. Compensation ranges from $10-$50 per high-quality submission, with a base pay of $50 per accepted question and $10 per peer review. This opportunity allows you to shape the future of AI data while controlling your earning potential.

Requirements

  • Completed Master’s Degree or Doctorate level degree in Asian Studies (India & China: Contemporary Issues, Economics, Art, Literature, Architecture, Philosophy, Political science, Sociology)
  • Be based in the U.S
  • Ability to work in the U.S. without sponsorship
  • Possess a TIN/EIN or SSN
  • Ability to contribute an average of 5 hours per week, or more for the duration of the project (estimate 3 months)

Responsibilities

  • Create reasoning tasks for a groundbreaking AI benchmark
  • Curate reasoning tasks for an AI benchmark
  • Review reasoning tasks for an AI benchmark
  • Collaborate within a cohort environment
  • Participate in live learning sessions

Preferred Qualifications

Previous experience in data annotation, question generation, or educational content creation

Benefits

  • Remote work with flexible, task-based hours
  • Task-based pay ranging from $10-$50 per high-quality submission
  • Base pay of $50/accepted question and $10/peer review performed
  • Potential to earn $50+/hr or more
  • Comprehensive medical, dental, and vision plans for full-time employees and their families
  • Yearly wellness stipend for full-time employees
  • 401k program for full-time employees
  • Parental leave program with up to 20 weeks of paid time off for full-time employees
  • Workstation setup allowance for full-time employees

Remote

Data

Mid-level

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