Project Overview: Data annotation is the process of labeling or curating data to train, tune, and/or evaluate AI models. The main task for this project includes generating field-specific multiple-choice questions (and answers) to support AI models that depend on high-quality labeled data for accuracy.
Role Overview: As an Expert Contributor (EC), you will play a pivotal role in creating, curating, and reviewing reasoning tasks for a groundbreaking AI benchmark. You'll help bridge the gap between what LLMs excel at now and the advanced reasoning capabilities we aim to achieve. Contributors will collaborate within a cohort environment, engaging in live learning sessions and leveraging shared incentives tied to achieving project milestones.
Job Title: Expert Contributor
Topic: Medical Specialties
Psychiatry and Behavioral Sciences |
Dermatology |
Medicine |
Obstetrics and Gynecology |
Ophthalmology |
Otolaryngology |
Pathology |
Pediatrics |
Urology |
Cardiothoracic Surgery |
Radiology |
Radiation Oncology |
Surgery |
Anesthesia |
Location: This remote role allows for flexible, task-based work, providing opportunities for those who are self-motivated and efficient with their time to make a significant impact while controlling their earning potential.
Hours: You make your schedule. We're targeting experts to dedicate ~5+ hours of work per week, completely self-paced and time-flexible.
Pay: We use a task-based structure that ranges from $10-$80 per high quality submission - depending on factors such as quality of work, project complexity, education level, background/experience (e.g. higher rates for specific fields of study).
Basic pay level: $80/accepted question and $10/peer review performed. You will be paid a minimum of $20 for every question you submit. This enables you to easily make a base rate of $80+/hr, with many contributors making considerably more.
Required Qualifications:
Previous experience in data annotation, question generation, or educational content creation is a plus!
Why Join Us?
You want to contribute to a groundbreaking open-source benchmark advancing AI frontiers and the chance to tackle rewarding challenges in a collaborative environment. You'll gain recognition for shaping the future of AI data.
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