Recruiting Specialist, AI Fellowship Programs (Contract)

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 syncs with the screening team, reviewing borderline cases, and aligning on scoring standards

• Flag patterns you notice in the applicant pool, rubric gaps, ambiguous scoring criteria, or competency questions that aren't differentiating

• Maintain inter-rater reliability by regularly comparing your pass-through rate and scoring distribution against the team baseline

• Help refine the rubric and process between screening waves

Key success metrics

• Sustain 35 screens per week (application reviews plus structured interviews) at consistent quality throughout each screening wave

• 95%+ of your candidates move through stages within SLA timelines

• Scoring distribution and pass-through rate stay within the team's calibration band

• You've run high-volume structured interviews before and know what it feels like to hold a bar across 30+ conversations a week without drifting

• You've worked in university recruiting, campus hiring, or fellowship/cohort selection where you're evaluating potential as much as experience

• You've worked in some aspect of recruiting and are looking for your first step to become a Recruiter. 

• You're comfortable with a tight rubric and daily calibration, and you see those as tools that make you better, not constraints that slow you down

• You've used an ATS (ideally Greenhouse) to manage candidate pipelines and can keep your own house clean without someone chasing you

• You're comfortable working alongside AI tools while utilizing your own judgment has to stay in the loop

• You care about equity in hiring and understand why structured processes exist: to reduce bias, not to create bureaucracy