Protege is building a platform to solve the biggest unmet need in AI — getting access to the right training data, which is currently time intensive, incredibly expensive, and often ends in failure.
Requirements
- Demonstrated deep levels of engagement in the AI research community conversation, such as on X or other social media channels, and understand the researcher language
- Hands-on experience building expert technical communities from scratch through a combination of in-person and online marketing channels and techniques
- Published authorship in research and/or academic publications
- Experience designing and building community and ecosystems centered around technical subject matter expertise
- Experience with data and its application to AI model training and evaluation
- Ability to think creatively and insightfully about large scale data problems
Responsibilities
- Understand ongoing researcher data priorities and needs to identify gaps in Protege’s data offerings to provide insights to our partnerships team on the highest priority data acquisitions
- Establish Protege’s presence in the research community and develop the reputation of the Protege Data Lab through community building
- Connect the dots between the researcher ecosystem and Protege’s business objectives, such as ongoing Protege data product releases and matching Protege offerings to relevant researcher needs
- Design and launch an academic advisory board that advises Protege product development and helps drive the Protege Data Lab as the leader in AI data research
Other
- Build relationships with leading AI researchers to establish Protege as the trusted, unbiased source for AI data research, expertise, and commercial application
- Create a trusted Protege ecosystem for ongoing conversations and advancements in the field of AI data through events, working groups, fellowships, roundtable discussions, and other community-building methods
- You are a curious, tenacious, proactive, and creative problem-solver with a strong bias towards action
- You are not bothered by ambiguity and embrace driving towards solutions in complex environments
- You can wear multiple mindsets: you can think theoretically to connect with leading AI researchers, then translate that theory into tactical execution
