Data Annotator

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Snorkel AI

πŸ“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, focusing on industrial engineering subtopics. You will collaborate within a cohort, participating in live learning sessions. Compensation is task-based, ranging from $10-$50 per high-quality submission, with potential to earn significantly more. The project is estimated to last 3 months, requiring a commitment of 5+ hours per week. 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 Industrial Engineering (Computer Aided Design and Computer Aided Manufacturing, Human Factors and Ergonomics, Robotics and Automation, Safety Engineering and Risk Management)
  • Must be based in the U.S
  • Ability to work in the U.S. without sponsorship
  • Must have 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 and review reasoning tasks
  • 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 hours
  • Task-based pay ranging from $10-$50 per high-quality submission
  • Potential to earn $50+/hr or more
  • Comprehensive medical, dental, and vision plans for full-time employees and their families (mentioned for full-time employees, not this specific role)
  • Yearly wellness stipend for full-time employees (mentioned for full-time employees, not this specific role)
  • 401k program for full-time employees (mentioned for full-time employees, not this specific role)
  • Parental leave program (up to 20 weeks paid time off) for full-time employees (mentioned for full-time employees, not this specific role)
  • Workstation setup allowance for full-time employees (mentioned for full-time employees, not this specific role)

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