FreshRemote.Work

Data Annotator - Expert Contributor (Contract)

Remote - United States

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.

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

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.  

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.

Qualifications:

  • Required: Completed Master’s Degree or Doctorate level degree in the topic of consideration. Fields 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. Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Must be based in the US Must have TIN/EIN or SSN No international profiles accepted

Benefits/Perks

Flexible schedule High earning potential Self-paced work

Tasks
  • Create and curate reasoning tasks
  • Generate multiple-choice questions
  • Review data for ai models
Skills

AI AI development AI technologies Data Annotation Data development Data processing Educational content creation Generative AI Language Models Machine Learning Pattern Recognition Question generation Reasoning

Experience

0 years

Education

Degree Doctorate degree Engineering Master's degree

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9