Jonathan Siddharth, CEO and Co-Founder of Turing, has spent nearly two decades at the intersection of AI and human talent. He earned a master’s degree in computer science with distinction from Stanford University, where his research focused on applying machine learning to web search. Before Turing, Siddharth worked as a scientist at Powerset, co-designing search ranking algorithms, and later co-founded Rover, a machine learning-based content recommendation company that was acquired by Revcontent in 2016.
Siddharth founded Turing in 2018 around a simple but ambitious thesis: talent matching is a trillion-dollar problem, and a person’s zip code or country shouldn’t determine their career opportunities. Using machine learning to source, vet, and match remote software engineers with companies, Turing quickly scaled into what became known as a “talent cloud,” reaching unicorn status in 2021 with a valuation of roughly $4 billion.
The company’s trajectory shifted dramatically in 2022, when OpenAI approached Turing to help provide coding data for training ChatGPT. Recognizing that frontier AI labs needed high-quality, human-generated data at scale, Siddharth repositioned Turing as an AGI infrastructure company — now one of the largest data partners to OpenAI, Anthropic, Google, Meta, Microsoft, and Nvidia. Turing’s work spans training large language models and enhancing AI performance in coding, reasoning, and complex problem-solving.
At a valuation of $2.2 billion, Turing has become a critical piece of infrastructure in the broader AGI race. Siddharth continues to advocate for a future he describes as “human + AI” — where the workforce of tomorrow blends human expertise with AI capability rather than being replaced by it. Beyond his role at Turing, he serves as an investor and advisor to StartX, a Stanford-affiliated startup accelerator, and previously served on the board of Quora.
