(This role can be remote or hybrid role based in New York City or Redwood City or Redwood City San Francisco) 

As an AI Technical Writer, you'll be tasked with creating and launching exceptional AI/ML documentation and enablement content for the Snorkel Flow platform. Working alongside a team of world-class researchers and machine learning engineers, your goal will be to empower users from diverse organizations to use the Snorkel Flow platform effectively. Your key responsibilities will include developing guides, tutorials, training materials, and learning content aimed at data scientists or similar audiences, with the aim of minimizing the requirement for individualized assistance and training. In doing so, you’ll drive strategy and execution to launch new technical infrastructure to facilitate effective development and presentation of new documentation/content.

In order to excel in this position, a solid understanding of AI/ML/data science concepts and the ability to work autonomously are essential. You will be responsible for spearheading the development and implementation of various online data science educational resources, such as concise video tutorials, comprehensive product documentation, and engaging data science workshops. You’ll work to understand customer needs deeply and closely collaborate with product managers, engineers, and solution engineers to design immersive learning experiences for Snorkel's data science and machine learning training initiatives.

Responsibilities

• The Technical Writer position entails the task of writing documentation and developing curricula aimed at creating exceptional technical content for Snorkel AI’s customers, partners, and internal stakeholders
• As part of your cross-functional responsibilities, you'll collaborate with various teams at Snorkel to create outstanding documentation and assist AI teams in utilizing Snorkel Flow
• Develop and implement an enablement strategy to onboard new accounts and users more efficiently and independently
• Create short-form learning content to enable self-service and improve customer experience
• Write user-focused documentation, including how-to guides, concepts, troubleshooting, and embedded help
• Drive strategic decisions and execution around infrastructure and tooling around documentation/content
• Work with engineering and product teams to document new products, features, and APIs

Qualifications

• A bachelor’s degree in data science, engineering, statistics, computer science, or a related field; in lieu of a degree, a strong interest in data science or machine learning
• Minimum three years experience designing and developing training, documentation, or consulting materials for technical audiences (formal or informal)
• In-depth understanding of end-to-end AI/Machine Learning approaches
• Exhibited proficiency in project management to collaborate efficiently with diverse stakeholders in identifying learning requirements, researching technical subjects, and creating educational material
• Excellent problem solving and analytical skills with an aptitude for learning new technologies
• Experience implementing content publishing tools

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