Data Annotator - STEM

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 - STEM (Remote)
Location: Remote

Hours: Flexible; depends on assignment.
Pay: We use a task-based structure that ranges from 10 to 50 dollars per high quality submission. Rates vary depending on factors such as quality of work, project 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, 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, with STEM expertise, to assist with these tasks, ranging from annotating multimodal data (text, images) to generating educational content such as questions.

Specifically, we’re looking to target annotators that have advanced degrees in the following areas:

• Math
• Physics
• Chemistry
• Engineering
• Biology
• Music
• Medical

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 project to project, but typically fall into the following buckets of work:

• 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.

Skills and Qualifications:

• Degree or concentration 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, 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.

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