Data Annotator - Science, Technology, Engineering, Math

October 5

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Snorkel AI

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enterprise ai • weak supervision • programmatic labeling • artificial intelligence • machine learning

51 - 200

💰 $85M Series C on 2021-08

Description

• We’re on a mission to democratize AI by building the definitive AI data development platform. • Data annotation is the process of labeling or curating data to train, tune, and/or evaluate AI models. • We are seeking detail-oriented Data Annotators, with STEM expertise, to assist with these tasks. • 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. • Tasks will change project to project, typically falling into multimodal data annotation, question generation, and quality assurance.

Requirements

• Degree or concentration 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, especially for generating content and annotating text-based data. • Data literacy: Experience or familiarity with handling and processing various types of data is preferred. • 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.

Benefits

• 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 teams