Mercor’s mission is to organize human intelligence to power the AI economy. We’re a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor’s APEX benchmark family measures AI’s real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Technical Recruiter at Mercor, you’ll own full-cycle hiring across critical technical functions, partnering directly with the VP of Engineering, CTO, and engineering leadership. You’ll play a foundational role in shaping our engineering organization as we scale one of the fastest-growing companies in the world.
What You’ll Do
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We’re looking for our first NYC-based talent hire to join us 5 days a week at our stunning new office in the heart of the Financial District, providing a central home for our growing team.
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As our inaugural talent team member in NYC, you’ll operate from our beautiful downtown office, making a direct impact and helping shape our culture as we scale.
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Own full-cycle recruiting (sourcing → close) across software, machine learning, infrastructure, and leadership roles.
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Partner directly with VP of Engineering, CTO, and Engineering Managers to define headcount plans, hiring bar, and process improvements.
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Build top-of-funnel using creative outbound, talent intelligence, and Mercor’s own product (structured screens, automated work samples, and calibrated rubrics).
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Design assessments that predict on-the-job performance and improve signal quality.
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Coach hiring managers on structured interviewing, leveling, and decision hygiene.