About Elicit
Elicit is an AI research assistant that uses language models to help professional researchers and high-stakes decision makers break down hard questions, gather evidence from scientific/academic sources, and reason through uncertainty.
What we’re aiming for:
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Elicit radically increases the amount of good reasoning in the world.
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For experts, Elicit pushes the frontier forward.
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For non-experts, Elicit makes good reasoning more accessible. People who don’t have the tools, expertise, time, or mental energy to make carefully-reasoned decisions on their own can do so with Elicit.
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Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures.
Visit our Twitter to learn more about how Elicit is helping researchers and making progress on our mission.
Why we’re hiring for this role
Two main reasons:
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Currently, Elicit operates over academic papers and clinical trials. One of your key initial responsibilities will be to build a complete corpus of these documents, available as soon as they’re published, combining different data sources and ingestion methods. Once that’s done there is a growing list of other document types and sources we’d love to integrate!
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One of our main initiatives is to broaden the sorts of tasks you can complete in Elicit. We need a data engineer to figure out the best way to ingest massive amounts of heterogeneous data in such a way as to make it usable by LLMs. We need your help to integrate into our customers’ custom data providers to that they can create task-specific workflows over them.
In general, we’re looking for someone who can architect and implement robust, scalable solutions to handle our growing data needs while maintaining high performance and data quality.