Expert Contributor - Law and Legal (Contract)

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: Expert Contributor - Law and Legal (Contract)

Location: Remote

Hours: Flexible; depends on assignment
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. 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.

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.

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.

Required Qualifications:

• Graduate degree or higher, and/or proven work experience in Law/Legal
• Must be based in the U.S. No international profiles accepted at this time. 
• The ability to work in U.S. without sponsorship. Must have TIN/EIN or SSN.
• Previous experience in data annotation, question generation, or educational content creation is a plus!

Skills:

• 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