Description
This isn't just another recruiting gig – it's a mission-critical talent acquisition challenge.
We're seeking a dynamic Campus Talent Acquisition Specialist to identify and secure 50 exceptional Alpha AI Engineer Interns from the nation's top institutions: MIT and Stanford. These aren't just any students – they're the brightest undergraduates ready to dive deep into generative AI development during their summer break.
Your mission is crystal clear: build the ultimate intern cohort. You'll orchestrate every aspect of the recruitment journey – from strategic relationship cultivation and seamless event execution to targeted outreach campaigns and candidate conversion. Think startup agility meets talent acquisition expertise meets sales precision. Forget fancy networking dinners and branded merchandise tables – this is about delivering measurable results: 50 exceptional students, summer 2026, Austin, TX.
We're offering complete operational freedom – independence, resources, defined objectives – with full accountability for outcomes.
This opportunity is tailor-made for a results-driven professional who embraces challenges, takes complete ownership, and has mastered the art of identifying and securing elite computer science talent.
Compensation package:
- Annual salary: $75,000 plus comprehensive travel expense coverage
- Full-time position with complete benefits package
- US-based role requiring regular travel to Stanford and MIT campuses
You could be our perfect match if you:
- Possess magnetic energy that captivates audiences and drives student engagement
- Approach event coordination with strategic precision and obsess over flawless execution
- Maintain composure during high-pressure situations and adapt seamlessly to changing circumstances
- Excel at commanding attention, optimizing conversion funnels, and achieving ambitious targets
- Embrace the dynamic rhythm of academic environments and excel at transforming curiosity into commitment
- Flourish in a travel-intensive role – always prepared, schedule optimized, consistently ahead of the curve
MIT or Stanford alumni – or professionals with proven campus success – will find this the most impactful recruiting opportunity available.
What you will be doing
- Architecting and optimizing a high-performance recruitment pipeline targeting MIT and Stanford computer science and machine learning students from first contact through final acceptance
- Taking complete ownership of campus event logistics – securing venues, coordinating catering, managing materials, and ensuring flawless execution
- Maintaining a rigorous travel schedule to Stanford and MIT for dynamic presentations, information sessions, and strategic student and faculty engagement
- Executing a data-driven recruitment strategy tracking outreach metrics, event attendance, assessment progression, and final enrollment rates
- Serving as the primary Alpha AI Engineer internship ambassador on campus – maintaining responsiveness, organization, and professional credibility
What you will NOT be doing
- Depending on corporate branding or HR departments to generate interest – you'll drive complete end-to-end ownership
- Conducting passive or minimal campus engagement – this demands intensive, consistent presence every week
- Delegating logistics to support teams – you'll handle venue bookings, merchandise shipping, and catering confirmations personally
- Operating within traditional business hours – peak engagement occurs during student availability: evenings, weekends, and exam periods
Key responsibilities
Successfully recruit and secure a complete, exceptional Alpha AI Engineer internship cohort (50+ accepted students) from MIT and Stanford by May 2026 through comprehensive direct outreach, strategic campus events, and optimized application pipeline management.
Candidate requirements
- Minimum 1 year experience in university recruiting, admissions operations, or event-driven outreach programs
- Proven track record in high-volume student outreach and engagement initiatives
- Demonstrated expertise in independent complex event logistics management
- Exceptional communication skills, superior organizational abilities, and strong self-motivation
- US residency with flexibility for frequent travel to MIT and Stanford campuses
Nice to have
- MIT or Stanford alumni credentials
- Technical recruiting experience in computer science, machine learning, or related fields
- Professional background in sales operations, campaign management, or startup environments
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style screening interview.
Cognitive aptitude test.
Prove real-world job skills.
Interview with the hiring manager.
Accept Job Offer.
Pass proctored test.
Frequently asked questions
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Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
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