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We are at the intersection of labor markets and AI research. We connect human expertise with leading AI labs and enterprises to train frontier AI models.

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AI Productivity Index (APEX) is the first benchmark that measures how well AI models perform real-world, economically valuable work. We partnered with former Treasury Secretary Larry Summers (Lawrence H. Summers), former McKinsey managing partner Dominic Barton, legal scholar Cass Sunstein (Cass Sunstein), cardiologist Dr. Eric Topol (Eric Topol), and dozens of other experts to evaluate model performance on real deliverables across law, finance, consulting, and medicine. Check it out:

AI Productivity Index (APEX) is the first benchmark that measures how well AI models perform real-world, economically valuable work. We partnered with former Treasury Secretary Larry Summers (Lawrence H. Summers), former McKinsey managing partner Dominic Barton, legal scholar Cass Sunstein (Cass Sunstein), cardiologist Dr. Eric Topol (Eric Topol), and dozens of other experts to evaluate model performance on real deliverables across law, finance, consulting, and medicine. Check it out:

630,943 просмотров • 10 месяцев назад

Behind every great hire is someone who made the intro. So far, we’ve paid over $1M to people who simply shared a link. That's because great people know great people, and we’ve built a system to reward them. Mercor’s referral network is shaping the future of work, connecting top engineers, lawyers, doctors, and domain experts with frontier AI labs.

Behind every great hire is someone who made the intro. So far, we’ve paid over $1M to people who simply shared a link. That's because great people know great people, and we’ve built a system to reward them. Mercor’s referral network is shaping the future of work, connecting top engineers, lawyers, doctors, and domain experts with frontier AI labs.

457,297 просмотров • 11 месяцев назад

Mercor is solving talent allocation in the AI economy. The difference between greatness and failure is the right person being in the right place at the right time. Putting them there is the hardest unsolved problem in capitalism. We’re excited to announce our $100M Series B at a $2B valuation from Felicis, General Catalyst, Benchmark, DST and Menlo Ventures.

Mercor is solving talent allocation in the AI economy. The difference between greatness and failure is the right person being in the right place at the right time. Putting them there is the hardest unsolved problem in capitalism. We’re excited to announce our $100M Series B at a $2B valuation from Felicis, General Catalyst, Benchmark, DST and Menlo Ventures.

612,654 просмотров • 1 год назад

We caught up with Rohit Bisht, a #MercorMatch, to learn more about how he leveraged Mercor to find a remote AI engineering position during one of the tech industry’s toughest hiring markets. Join our talent pool today at

We caught up with Rohit Bisht, a #MercorMatch, to learn more about how he leveraged Mercor to find a remote AI engineering position during one of the tech industry’s toughest hiring markets. Join our talent pool today at

487,054 просмотров • 2 лет назад

Mercor connects experts in their field with leading AI labs to test, challenge, and improve frontier AI models. Whether you’re a software engineer, PhD, consultant, or doctor, you can earn up to $200/hr while working on your own terms. Apply today at

Mercor connects experts in their field with leading AI labs to test, challenge, and improve frontier AI models. Whether you’re a software engineer, PhD, consultant, or doctor, you can earn up to $200/hr while working on your own terms. Apply today at

215,529 просмотров • 1 год назад

Nathan Adamson is a PhD student at the University of Hawaii who found a job through Mercor working for a top AI lab remotely. Find your next role at

Nathan Adamson is a PhD student at the University of Hawaii who found a job through Mercor working for a top AI lab remotely. Find your next role at

68,097 просмотров • 1 год назад

Today, we're announcing $3.6M in funding and the launch of our platform, which uses AI to assess and match talent with companies. Our round is led by General Catalyst and includes participation from Scott Sandell (CEO of NEA), Soma Capital, Link Ventures, and others.

Today, we're announcing $3.6M in funding and the launch of our platform, which uses AI to assess and match talent with companies. Our round is led by General Catalyst and includes participation from Scott Sandell (CEO of NEA), Soma Capital, Link Ventures, and others.

79,691 просмотров • 2 лет назад

Behind every breakthrough in AI is human knowledge. At Mercor, experts across law, medicine, and engineering are driving progress and earning up to $400/hour. The future of work starts with you.

Behind every breakthrough in AI is human knowledge. At Mercor, experts across law, medicine, and engineering are driving progress and earning up to $400/hour. The future of work starts with you.

22,538 просмотров • 11 месяцев назад

At Mercor, we connect PhDs and researchers with high-paying, high-impact work training shaping the future of frontier AI models. This year, we expanded that mission with the Mercor Graduate Fellowship, awarding $50K to students doing extraordinary work. We’re excited to introduce one of our 2025 fellows: Neil Band. Neil is a third-year Stanford CS PhD student researching how to make language models safer and more reliable. His work tackles hallucinations, uncertainty calibration, and advanced reasoning in LLMs. With the support of this fellowship, Neil can focus on pushing the boundaries of trustworthy AI, taking on more ambitious, forward-looking research. We're proud to support Neil as he builds the future of trustworthy AI.

At Mercor, we connect PhDs and researchers with high-paying, high-impact work training shaping the future of frontier AI models. This year, we expanded that mission with the Mercor Graduate Fellowship, awarding $50K to students doing extraordinary work. We’re excited to introduce one of our 2025 fellows: Neil Band. Neil is a third-year Stanford CS PhD student researching how to make language models safer and more reliable. His work tackles hallucinations, uncertainty calibration, and advanced reasoning in LLMs. With the support of this fellowship, Neil can focus on pushing the boundaries of trustworthy AI, taking on more ambitious, forward-looking research. We're proud to support Neil as he builds the future of trustworthy AI.

23,435 просмотров • 1 год назад

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