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!
Become an Expert Contributor today!Snorkel is at the forefront of AI development, building high-quality datasets that leverage the strengths of Large Language Models (LLMs) in language understanding and data processing. While LLMs have excelled in tasks like language generation and pattern recognition, advancing their reasoning capabilities is the next frontier. Our goal is to push the boundaries of AI by designing and scaling datasets that will shape new AI technologies focused on complex reasoning tasks across a multitude of domains.
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: Mathematics: Applied & Pure (Classical Mechanics, Computational Mathematics, Control Theory, Dynamical Systems, Mathematical Modeling, Mathematical Physics, Numerical Analysis, Optimization, Partial Differential Equations, Abstract Algebra, Precalculus, Geometry, Calculus Single and Multivariable, Category Theory, Complex Analysis, Differential Equations, Discrete Math, Group Theory, Linear Algebra. Mathematical Logic. Non-Euclidean Geometry, Real Analysis)
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-$50 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: $50/accepted question and $10/peer review performed. This enables you to easily make a base rate of $50+/hr, with many contributors making considerably more.
Required Qualifications:
- Completed Master’s Degree or Doctorate level degree in the topic of consideration (Genetics). Subtopics listed below, please select your expertise.
- 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.
- The ability to contribute an average of 5 hours per week, or more for the duration of the project (estimate 3 months).
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.
Apply today! Please fill out the bottom of this application in it's entirety for consideration.
Be Your Best At Snorkel
Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.
Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Top Skills
What We Do
Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterprises such as Chubb and BNY Mellon, and several government agencies to accelerate AI application development by 10-100x.
Why Work With Us
The founding team spent over half a decade researching programmatic labeling, weak supervision, and other techniques to break through one of the biggest bottlenecks in AI: the lack of labeled training data. This research has resulted in Snorkel research project and 60+ peer-reviewed publications. Snorkel has developed and deployed its technology
