Protege is the trusted source for AI-ready, real world data and expertise at every stage of the AI lifecycle. Backed by a16z and CRV.
About the role
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- One to three years in consulting, finance, a startup, or another operationally intense environment where you owned complex projects with real stakes. Strong new grads with that kind of experience are welcome
- Strong analytical skills, with instincts for statistics
- Comfort and experience with agentic coding/work tools, willingness to learn new ones
- Comfort working directly with demanding stakeholders, including researchers and outside partners
- The judgment to notice when something is off and the instinct to raise it early rather than guess
- Clear, fast written communication
More about this role
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.
We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.
The Human Data team produces the human judgments that make AI training data trustworthy. That includes annotating data, verifying model output, and the human review that makes healthcare data safe to use. We work with an in-house team of annotators and a network of partners ranging from annotation platforms to practicing physicians. Our work feeds the research teams building AI evaluations and training environments, and the AI labs...
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