Data Annotator
Part-time
/
Remote
/
$15
-
$25
Responsibilities:
Multimodal data annotation: Accurately label and tag data, including images and text, following provided guidelines.
Multiple-choice question generation: Create clear and high-quality questions for educational or AI training purposes.
Quality assurance: Review and verify your annotations to ensure consistency and correctness across datasets.
Requirements:
Some amount of college-level mathematics: Basic mathematical skills to understand complex concepts and work with technical data.
Attention to detail: Precision is crucial, as incorrect labeling can impact the performance of machine learning models.
English proficiency: Excellent written and verbal communication skills, especially for generating content and annotating text-based data.
Data literacy: Experience or familiarity with handling and processing various types of data is preferred.
Technical aptitude: Comfort with basic software tools, spreadsheets, or annotation platforms is beneficial.
Self-motivation: Ability to work independently, manage time effectively, and meet project goals in a remote work environment.
Benefits:
Competitive and flexible pay that allows you to control your earnings
The opportunity to work remotely from anywhere, with flexible hours.
A chance to contribute to the development of cutting-edge AI technologies with world-class AI/ML research teams
About Snorkel AI:
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!
About the Role:
Data annotation is the process of labeling or curating data to train, tune, and/or evaluate AI models. This includes tasks like identifying objects in images, tagging pieces of text, or generating multiple-choice questions to support AI models that depend on high-quality labeled data for accuracy. We are seeking detail-oriented Data Annotators to assist with these tasks, ranging from annotating multimodal data (text, images) to generating educational content such as questions.
