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Codepath
Codepath

Recruiting Specialist, AI Fellowship Programs (Contract)

hrfull-timeRemote, United States
SALARY
$73k – $94k/yr
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role

About the Role

Location: Remote, United States

Role Type: Contract, Full-Time

Duration: 6 months

Reporting to: Senior Manager, Talent Engagement

Compensation: $35-45 per hour (full-time, approximately 40 hours/week)

CodePath is launching a new AI fellowship program, and we need experienced recruiters to help us select our first cohorts of fellows. Over the 6-month contract you'll work two intensive screening waves, each roughly 10 weeks, selecting hundreds of fellows across the two cohorts from thousands of applicants. This is high-volume, structured screening work with real stakes: the people you advance will go on to shape the next generation of AI practitioners.

You'll review written applications, conduct 30-minute structured interviews, score candidates against a six-competency rubric, and manage your own pipeline in Greenhouse. The work is fast-paced, calibration-heavy, and requires someone who can hold a consistent bar across hundreds of conversations. Between waves, you'll help sharpen the rubric and the process so the next cohort's selection runs better than the last.

What you will do

Screen and evaluate candidates

  • Review written applications against a structured rubric
  • Conduct 30-minute structured interviews focused on six competencies, probing for specificity and depth rather than rehearsed answers

Own your pipeline

  • Manage your assigned candidates end-to-end in Greenhouse, from application review through disposition, scheduling, and stage transitions
  • Handle scheduling exceptions, no-shows, and reschedules without bottlenecking the process
  • Monitor take-home completion deadlines and flag candidates at risk of dropping off

Calibrate and improve

  • Participate in calibration sessions to align scoring across the team
  • Provide feedback on rubric clarity and interview question effectiveness
  • Suggest process improvements for subsequent screening waves
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