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.
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
