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: Bilingual - Data Annotator - STEM (Russian, Chinese, Vietnamese)
Location: Remote
Hours: Looking for people that can commit to 10-40 hours per week on contract.
Pay: Compensation for this project will be a "task-based" structure where you paid for completion per task. The compensation per task is aligned to give you the opportunity to earn the equivalent of $40-$50 per hour. PLEASE NOTE, we are not paying an hourly wage, compensation is "task-based". Rates will vary depending on factors such as project complexity, education level, background/experience (e.g. higher rates for coding).
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, tagging pieces of text, or generating multiple-choice questions to support AI models that depend on high-quality labeled data for accuracy. We are seeking detail-oriented Data Annotators, with STEM expertise, to assist with these tasks, ranging from annotating multimodal data (text, images) to generating educational content such as questions.
Specifically, we’re looking to target bi-lingual annotators who are fluent in English, Russian, Vietnamese or Chinses (Mandarin) and that have advanced degrees in the following areas:
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 project to project, but typically fall into the following buckets of work:
Skills and Qualifications:
What We Offer:
How to Apply:
Interested candidates should submit their resume. We will reach out with next steps to get started - no interviews are required, but our process will include completing a brief assessment, background check and onboarding session. If you would like to speak with a recruiter to learn more, we can arrange that as part of your process as well.