Early Career & University Recruiter
Listed by employer · Checked
Posted within 60 days ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 120,000–200,000 1 YEAR
- Stated sponsorship
- Not stated
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Not enough information in this posting — confirm with the employer
Checked for applicants in Andorra; employer sponsorship is needed. Based on the source posting · not a hiring or work-authorization guarantee.
The posting does not specify whether applicants from your country are accepted.
Why this result?
3 still unclear
- The posting does not specify whether applicants from your country are accepted.
- Office attendance is required. Relocation and work permission have not been assessed.
- Visa sponsorship is not specified.
This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
2 with evidence7 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Minimum experience (years)
- 6
“6+ years of recruiting experience, including meaningful ownership of university, early-career, or internship recruiting.”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 120,000–200,000 1 YEAR
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
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
We're looking for an Early Career & University Recruiter to build Mercor's university recruiting, early-career hiring, and internship programs from the ground up.
You'll own the strategy for how we identify, attract, and hire exceptional emerging talent across engineering, machine learning, and business functions. From developing university partnerships to creating new ways of finding talent beyond traditional recruiting channels, you'll help build the next generation of Mercor.
This is a hands-on, high-ownership role for someone who can think strategically, execute independently, and build programs that scale.
What You'll Do
Build our early-career recruiting strategy: Develop and execute Mercor's approach to university recruiting, new-grad hiring, and internships, including target talent pools, recruiting calendars, and hiring plans.
Find exceptional emerging talent: Identify and engage high-potential students and early-career professionals through creative sourcing strategies that go beyond traditional campus recruiting and established university pipelines.
Own full-cycle recruiting: Drive sourcing, assessment, candidate engagement, and closing for intern and new-grad roles across engineering, ML, and business functions.
Build and scale our internship program: Establish the recruiting framework, selection process, and return-offer strategy, partnering with hiring managers and People to create a strong intern experience.
Create new talent pipelines: Develop initiatives such as hackathons, fellowships, student partnerships, and ambassador programs where they can meaningfully improve our ability to attract exceptional talent.
Partner with leadership: Work closely with hiring managers and functional leaders to define early-career talent needs, establish hiring standards, and align recruiting plans with business priorities.
Measure and improve outcomes: Establish the metrics and operating processes needed to evaluate program effectiveness, candidate quality, offer acceptance, and intern-to-full-time conversion.
What We're Looking For
6+ years of recruiting experience, including meaningful ownership of university, early-career, or internship recruiting.
Demonstrated experience building or significantly transforming an early-career recruiting program, with clear ownership and measurable results.
Strong technical recruiting experience, particularly with engineering, computer science, or machine learning talent.
Exceptional sourcing creativity and the ability to identify high-potential candidates beyond traditional credentials, universities, and employer brands.
Ability to develop a strategy and independently translate it into execution without relying on established infrastructure.
Strong stakeholder management, including the ability to influence hiring managers, challenge assumptions, and drive accountability.
A data-driven approach to measuring recruiting effectiveness, improving processes, and making prioritization decisions.
Willingness to travel for university partnerships, recruiting events, and other high-impact opportunities.
Nice to Haves
Experience building early-career or university recruiting programs in a high-growth startup environment.
Experience developing nontraditional talent pipelines, technical student communities, hackathons, or fellowship programs.
Experience designing internship recruiting programs that have delivered strong intern-to-full-time conversion.
Ideal Qualities
Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
Operational Rigor - ability to bring order to an unstructured environment
Growth Mindset - You don’t need to be an expert on AI, but you do need to have a strong desire to learn and continue learning in a rapidly evolving, frontier industry
Commitment to the Outcome - Ownership mentality; will hold themselves accountable to an extremely high standard of work
Love for the Craft - we are building a zero to one motion; this hire will bring a low ego attitude to the table with a genuine love for building a best-in-class talent acquisition organization
No similar roles found yet — browse all mercor jobs.
Explore stated remote geography
These collections reflect applicant location statements, not authorization or citizenship.
