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Technical Recruiter

Mercor

Technical Recruiter

Mercor

San Francisco

·

On-site

·

Full-time

·

1mo ago

Required skills

Machine Learning

ABOUT MERCOR

Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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 new San Francisco headquarters.

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:

  • Competitive salary and bonus earning potential + meaningful equity (aligned with a venture-backed, rapidly scaling AI company).

  • Medical, dental, and vision coverage.

  • 401(k).

  • Excellent in-office culture.

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About Mercor

Mercor

Mercor

Seed

Mercor is an AI-powered platform that connects companies with vetted software engineers and technical talent through automated screening and matching processes.

1-50

Employees

San Francisco

Headquarters

Reviews

4.0

10 reviews

Work-life balance

3.2

Compensation

3.5

Culture

4.3

Career

3.4

Management

4.2

72%

Recommend to a friend

Pros

Supportive management

Great team culture and collaboration

Good benefits and vacation policy

Cons

Heavy workload and overtime

Communication issues

Non-competitive pay

Salary Ranges

6 data points

Mid/L4

Mid/L4 · Machine Learning Engineer

1 reports

$210,126

total per year

Base

$161,637

Stock

-

Bonus

-

$210,126

$210,126

Interview experience

3 interviews

Difficulty

3.0

/ 5

Offer rate

67%

Experience

Positive 0%

Neutral 67%

Negative 33%

Interview process

1

Application Review

2

AI Interview

3

Domain Expertise Assessment

4

Offer

Common questions

Domain Knowledge

Behavioral/STAR

Leadership Experience

Industry Expertise