Data Annotator - Knowledge Project

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!

Job Title: Data Annotator - Knowledge Project (Remote)
Location: Remote

Hours: Flexible; at least 20 hours per week
Pay: We use a task-based structure that ranges from $10-$100 per high-quality task. Rates vary depending on factors such as quality of work, task complexity, education level, background/experience (e.g. higher rates for specific fields of study).

Company Overview:
At Snorkel AI, we are pioneering new approaches to high-quality, human-in-the-loop data development for training, tuning, and evaluating AI models. As part of our growing team, you’ll contribute directly to AI advancements by helping us annotate, curate, and perform quality control reviews on large datasets. This is an exciting opportunity to contribute to cutting-edge approaches to data development and push the data frontier of what modern LLMs do and don’t know. 

Role Overview:
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 and tagging pieces of text. We are seeking detail-oriented Data Annotators with graduate-level expertise in any one or more of 100+ domains to assist with generating multiple-choice questions to support AI models that depend on high-quality labeled data for accuracy.

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.

Key Responsibilities:

Tasks will change throughout the project, but include:

• Multiple-choice question generation: Create clear and high-quality questions for educational or AI training purposes.
• Quality assurance: Review and verify peers’ multiple-choice questions to ensure consistency and correctness across datasets.

Skills and Qualifications:

• Graduate degree in one of the above-listed areas
• 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.
• 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.

What We Offer:

• 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 team

Please Note: You will be required to pass a background check that will include the following

• Criminal History
• Education Verification
• Identity Verification