Technical Recruiter
Mercor
Technical Recruiter
Mercor
Automates candidate screening and matching
Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.
We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.
Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.
Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.
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.
Own full-cycle recruiting across software, machine learning, research, infrastructure, security, and leadership roles.
Partner directly with the VP of Engineering, CTO, and Engineering Managers to define headcount plans, role outcomes, success profiles, and the hiring bar. Prioritize reqs against business goals.
Build top-of-funnel through targeted passive outreach, talent intelligence, referrals, events, and Mercor’s own product (structured screens, automated work samples, and calibrated rubrics).
Source and close passive, high-bar candidates. Lead with a compelling narrative, handle objections, and drive offer strategy and negotiations aligned to leveling, comp bands, and market data.
Design assessments that predict on-the-job performance. Define competencies, calibrate rubrics, and keep raising signal quality.
Coach hiring managers and interviewers on structured interviewing, leveling, and decision hygiene.
Operationalize hiring systems. Track and optimize pass-through rates, time-in-stage, source yield, and diversity signals, and report weekly and quarterly with clear metrics and narrative.
Champion speed and quality: drive SLAs for same-day debriefs and fast offers, and maintain a consistently strong candidate experience.
Maintain a mapped bench of high-potential talent for critical and future roles.
Build Mercor’s brand with top technical talent through campaigns, content, communities, and events. You’ll be a face of Mercor for the engineers and researchers we want most.
Partner on dashboards, metrics, and process automation in Ashby and other recruiting systems.
6+ years of full-cycle technical recruiting, ideally in high-growth or deep-tech environments.
Deep familiarity with technical roles: SWE, MLE, Research, Applied AI, Security, Infrastructure, and TLM.
A proven track record of sourcing and closing passive candidates for high-bar IC and leadership roles.
Demonstrated ability to build and scale hiring systems, identify the right metrics, and make data-driven decisions.
Fluency with structured interviewing, competency rubrics, and recruiting analytics.
Strong communication skills and the ability to influence senior stakeholders, including the VP of Engineering, the CTO, and cross-functional leaders, at pace.
Commitment to inclusive hiring and an excellent candidate experience.
Familiarity with Ashby, or the ability to pick up new tools quickly.
Experience as a founding technical recruiter or early-stage builder.
Experience hiring ML researchers or research engineers at an AI lab.
Interest in the human data / AGI space.
A technical degree or professional engineering experience.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.
Mercor provides an AI-driven recruitment platform that automates key parts of hiring for both job seekers and employers. Job seekers upload their CVs and complete a 20-minute AI-led video interview, after which a proprietary language model generates detailed candidate profiles; employers receive automated resume screening, candidate matching, and initial interviews, with tailored AI interviews for specialized roles. The system uses a company-trained model to rank and recommend candidates by qualifications and predicted performance, and operates on a finder’s-fee revenue model with large-scale usage across software, operations, design, and other fields, including AI labs. Its goal is to speed up hiring while reducing bias and delivering better job-to-citizen matches.
Explore more opportunities at Mercor