Expert Contributor - Medical (Contract) - Remote

Overview

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

In Short

• Remote role with flexible, task-based work.
• Create, curate, and review reasoning tasks for AI benchmarks.
• Generate field-specific multiple-choice questions and answers.
• Collaborate in a cohort environment with live learning sessions.
• Contribute an average of 5+ hours of work per week.
• Task-based pay structure ranging from $10-$80 per submission.
• Minimum pay of $20 for every question submitted.
• Opportunity to make a base rate of $80+/hour.
• Previous experience in data annotation or educational content creation is a plus.
• Join a mission-driven team advancing AI frontiers.

Requirements

• Completed Doctorate of Medicine (MD) or Doctor of Osteopathic Medicine (DO).
• Must be in 2nd year of Residency at a minimum.
• Must be based in the U.S.; no international profiles accepted.
• The ability to work in the U.S. without sponsorship.
• Contribute an average of 5 hours per week or more for the project duration.
• Previous experience in data annotation or question generation is a plus.

Benefits

• Contribute to a groundbreaking open-source benchmark.
• Collaborative environment with shared incentives.
• Gain recognition for shaping the future of AI data.
• Flexible work schedule allowing self-paced contributions.
• Opportunity to tackle rewarding challenges in AI.