Support a high-priority technical-expert panel for a frontier AI lab as an Expert Interviewer.
Overview
We're seeking an experienced interviewer to help vet shortlisted engineers across GPU kernel development, security & vulnerability research, and ML-compiler / accelerator domains for an AI model training-and-evaluation engagement. You'll run short, structured interviews and give our team a clear, evidence-based read on each expert's fit.
What You'll Do
- Run ~20-minute structured interviews with shortlisted experts, assessing technical depth, communication, and AI-evaluation fit against a provided rubric.
- Confirm each expert's availability, work authorization, and exclusivity, and surface any red flags.
- Tier each candidate (advance / hold / pass) and write a concise summary for the program team.
- Coordinate scheduling within weekday business hours.
What We're Looking For
- Prior recruiting, interviewing, or technical-vetting experience; comfort assessing senior engineers.
- Strong communication and structured judgment; able to run a warm, professional conversation and stay on time.
- Weekday business-hours availability.
- Able to commit reliably to about 10 hours per week, fully remote.
Equal Employment Opportunity: We are proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, political views or activity, or any other legally protected characteristic.
Listing sourced from Mercor. Annotation Academy is independent of these platforms and does not guarantee work or pay. See our disclosures.