Snorkel AI Logo

Snorkel AI

Data Annotator - Knowledge Project (Remote)

Posted 5 Days Ago
Remote
Hiring Remotely in United States
10-100
Junior
Remote
Hiring Remotely in United States
10-100
Junior
Data Annotators will label and curate data for AI models, generate multiple-choice questions, and perform quality assurance on peer submissions.
The summary above was generated by AI

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


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

Annotation Platforms
Spreadsheets

Similar Jobs

An Hour Ago
Remote
Hybrid
New York, NY, USA
125K-155K Annually
Mid level
125K-155K Annually
Mid level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Gather and preprocess geospatial data for various teams, ensuring quality data for AI/ML model development and product needs. Work with multiple tools and collaborate across departments.
Top Skills: DemDsmDtmEsri ShapefilesGdalGeojsonGisLinuxPython
An Hour Ago
Remote
USA
110K-150K Annually
Senior level
110K-150K Annually
Senior level
Automotive • Big Data • Insurance • Software • Transportation
The Lead Data Analyst dissects datasets, provides actionable insights, develops analytical models, implements dashboards, and collaborates with stakeholders to enhance business strategies.
Top Skills: BiCrm ToolsGoogle WorkspaceSQL
2 Hours Ago
Easy Apply
Remote
US
Easy Apply
2K-2K
Senior level
2K-2K
Senior level
eCommerce • Mobile • Retail • Software • Design • Generative AI
The Senior Analytics Engineer will enhance analytics models, create trustworthy dashboards, and establish data governance standards to drive decisions across Mixbook.
Top Skills: DbtGa4LookerLookmlMetaplaneMixpanelOptimizelyPythonRedshiftSQL

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account