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Application Readers (Part-Time) - Admissions Office - Heinz College

CMU AI · Pittsburgh, PA

Research instituteonsiteentry-level
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At a glance

Highlights

  • Holistically evaluate graduate applications for the winter 2026–spring 2027 cycle.
  • Help enroll a qualified class at a top-ranked policy and technology college.
  • Complete comprehensive assessments of academic and professional qualifications.

What they offer

  • Comprehensive medical, prescription, dental and vision insurance
  • Retirement savings program with employer contributions
  • Tuition benefits
  • Paid time off and observed holidays
  • Life and accidental death and disability insurance
  • Free Pittsburgh Regional Transit bus pass and fitness center access

Ideal candidate

Detail-oriented admissions professional who values confidentiality, integrity and holistic review. Passionate about global education and excited to help shape a talented, diverse graduate class at Carnegie Mellon.

Requirements

  • Bachelor's degree required; Master's degree preferred
  • 1-3 years in graduate admissions/recruiting or graduate student advising required
  • Experience with selective and holistic college admission
  • Familiarity with international curricula or eagerness to learn global educational systems preferred
  • Background in information systems-related subject area preferred
  • Provide own computer and reliable internet to review large PDF files
  • Successful completion of pre-employment background check and legally authorized to work for CMU in the US
remote policy
Remote option may be available through December 2026 for residents of PA, CA, NY, VA or DC with approved Remote Work Agreement; continuation beyond 2026 not guaranteed.
visa sponsorship
No visa sponsorship

Lab profile

About CMU AI

Carnegie Mellon applied AI research spanning robotics, autonomy, and cybersecurity for defense.

What they build

  • Multimodal behavior analysis algorithms
  • Autonomy systems
  • Cybersecurity analytics prototypes

Known for

  • Multimodal machine learning
  • Computer vision and human behavior modeling
  • AI engineering for defense
  • Software engineering and cyber resilience
More about CMU AI →
Apply on the lab’s site ↗

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