---
title: 'Technical Recruiter at Mercor'
canonical: 'https://feeny.ai/job/technical-recruiter-mercor-san-francisco-fvkrz8v0xc2y'
type: 'job'
last_seen: '2026-09-12'
---

# Technical Recruiter at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Compensation:** $160k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-03
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/mercor/3e6e588a-c615-4653-96ce-b1236030271c/application

**Skills:** Full-cycle recruiting, Technical recruiting, SWE, MLE, Applied AI, Security, Infrastructure, TLM, Data-driven decision making, Ashby, Founding technical recruiter experience, Early-stage startup building experience, AGI interest

> Own full-cycle hiring for software, ML, infrastructure, and leadership roles at a scaling AI company. Partner with engineering leadership to define headcount plans, build top-of-funnel sourcing strategies, and optimize hiring systems while representing the company externally.

## Job description

## About Mercor

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

- Own full-cycle recruiting (sourcing → close) across software, machine learning, infrastructure, and leadership roles.
- Partner directly with VP of Engineering, CTO, and Engineering Managers to define headcount plans, hiring bar, and process improvements.
- Build top-of-funnel using creative outbound, talent intelligence, and Mercor’s own product (structured screens, automated work samples, and calibrated rubrics).
- Design assessments that predict on-the-job performance and improve signal quality.
- Coach hiring managers on structured interviewing, leveling, and decision hygiene.
- Operationalize hiring systems: track and optimize key funnel metrics (pass-through rates, time-in-stage, source yield).
- Champion speed and quality: drive SLAs for same-day debriefs, fast offers, and strong candidate experience.
- Build brand: campaigns, referrals, and events that attract top engineers and operators.
- Represent Mercor externally, you’ll be a face of the brand for top technical candidates.
- Collaborate on dashboards, metrics, and process automation within Ashby and other recruiting systems.

## What We’re Looking For

- Experience with full-cycle recruiting across IC and leadership roles.
- Deep familiarity with technical roles: SWE, MLE, Applied AI, Security, Infrastructure, and TLM.
- Proven ability to build and scale hiring systems, identify key metrics, and make data-driven decisions.
- Strong communication skills; able to work efficiently with the VP of Engineering, CTO, engineering leadership, and cross-functional teams.
- Confident representing the Mercor brand to top candidates.
- Familiarity with Ashby or ability to quickly adopt new tools and systems.

Nice to Haves

- Experience as a founding technical recruiter or early-stage startup builder.
- Interest in the human data / AGI space.
- Technical degree or professional experience in engineering.

## Compensation & Benefits

- 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

## About Mercor

## Company Overview
- **One-liner**: Mercor organizes human intelligence to power the AI economy by connecting domain experts with frontier AI labs and enterprises for model training, evaluation, and deployment.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, USA (with offices in New York City and London)
- **Founded**: 2023
- **Founders**: Brendan Foody & Adarsh Hiremath (Co-founders & Co-CEOs)

## Core Business
- Primary industry: AI Data & Infrastructure, Human-in-the-Loop AI, Enterprise AI
- Target customers: Frontier AI labs (OpenAI, Anthropic, etc.), Fortune 500 enterprises deploying AI in production, and domain experts seeking high-value AI work
- Mission: Organizing human intelligence to power the AI economy — building the layer between human expertise and frontier models.

## Products & Services
- **Mercor Platform**: A global network of millions of domain experts across 300+ professional fields, paid over $3 million per day to train frontier AI models. Experts are found and vetted using dynamic, role-specific AI interviews.
- **APEX Benchmark**: A benchmark family that measures AI's real-world impact on professional work, setting a standard for whether AI can perform economically valuable work.
- **Mercor Enterprise**: Brings Mercor's expert network and evaluation infrastructure to Fortune 500 companies, deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.

## Market Standing
- **Valuation**: $10 billion valuation (as of Series C)
- **Key Metric**: Total Funding — $350 million Series C (recently raised); company is profitable
- **Notable Investors/Partners**: Not explicitly named in provided sources, but the company works with leading AI labs and Fortune 500 enterprises
- **Growth Signals**: 
  - Named to Bloomberg's "2026 24 AI Startups to Watch"
  - Forbes AI 50 (2025)
  - Forbes Cloud 100 (2025)
  - LinkedIn Top Startup (2025)
  - Described as "the fastest-growing company in the world"
  - Tens of thousands of skilled professionals earning an average of more than $95/hour on the platform

## Competitive Advantages
- **Massive, vetted expert network**: Millions of domain experts across 300+ fields, found and vetted via AI-driven interviews — a hard-to-replicate moat.
- **Direct frontier model exposure**: Every team works directly with frontier models, training them and building around them — most companies haven't imagined this level of integration.
- **Profitability at scale**: Profitable at Series C with a $10B valuation, indicating strong unit economics.
- **End-to-end AI infrastructure**: From expert sourcing and vetting to model evaluation (APEX) to enterprise deployment — a vertically integrated stack.

## Strategic Focus
- **Scaling the expert network**: Continuing to onboard millions of domain experts globally to meet the insatiable demand for high-quality human training data.
- **Enterprise AI deployment**: Expanding Mercor Enterprise to help Fortune 500 companies encode organizational knowledge into AI systems and deploy custom agents.
- **Benchmarking AI's economic impact**: Growing the APEX benchmark as the standard for measuring whether AI can perform economically valuable work.
- **Preparing for AGI**: The company's founding thesis is about answering what role humans will play in the economy as AGI approaches.

## Why Work Here
- **Culture**: "Built for people who thrive in high-velocity environments." Values include Intensity, Simplicity, User Obsession, High Standards, Can-Do Attitude, and Time Travelers (thinking ahead).
- **Work model**: In-person collaboration from offices in San Francisco, New York City, and London. No remote option — the company believes in-person collaboration helps move faster and solve harder problems.
- **Engineering culture**: Direct exposure to frontier AI research, labs, and startups. Every team works with frontier models daily. Described as "the fastest-growing company in the world."
- **Compensation**: Generous equity grants, competitive salaries (ranges from $100K–$500K depending on role), and a "proximity bonus" (generous annual housing support).
- **Benefits**: 
  - Unlimited paid vacation and sick days
  - Free Equinox membership (premium fitness access)
  - Monthly wellness stipend and free mental health services
  - Monthly food stipend
  - 401k with employer match
  - Parental leave for both birthing and non-birthing parents
- **Team**: "A team of ambitious, diverse people who want to work on what matters most." Open roles across Engineering (31 roles), Operations (15 roles), Enterprise (5 roles), Finance (4 roles), and more.

## Sources
1. [mercor.com](https://www.mercor.com/)
2. [mercor.com/careers](https://www.mercor.com/careers/)
3. [mercor.com/mission](https://www.mercor.com/mission/)
4. [jobs.ashbyhq.com/mercor](https://jobs.ashbyhq.com/mercor)
5. [linkedin.com/company/mercor-ai](https://www.linkedin.com/company/mercor-ai)

## Other roles at Mercor

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- [Strategic Project Lead](https://feeny.ai/job/strategic-project-lead-mercor-mexico-city-q4w7ryfm5va5) — Mexico City, Mexico
- [Security GRC Lead](https://feeny.ai/job/security-grc-lead-mercor-san-francisco-mxdykv6dze58) — San Francisco, CA
- [Tech Lead Manager, Frontier Data Products](https://feeny.ai/job/tech-lead-manager-frontier-data-products-mercor-new-york-dbjederem7zf) — New York, NY
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