Requirements and responsibilities
Source and recruit domain experts to train frontier AI models. Own top-of-funnel for highly technical roles across engineering, science, law, finance, and more.Required SkillsRecruitment: End-to-end pipeline management, screening, scheduling, and candidate communicationSourcing: Expert in LinkedIn Recruiter, GitHub, X, niche communities, and Boolean search for technical talentProject management: Track 100+ roles, manage SLAs, hit weekly targets, and keep ATS data cleanHigh-velocity ops: Move fast without dropping quality. Can balance speed and precisionCommunication: Clear, concise outreach and professional candidate experiencePreferred1+ years recruiting technical roles or sourcing for research/engineering. Experience hiring PhDs, domain experts, or specialized contractors.Familiar with ATS like Ashby, Greenhouse, or Lever.Can assess resumes for technical depth and domain fit.Understands difference between “knows Python” and “built production ML systems.”Strong written outreach that gets replies from senior experts.Data-driven: tracks funnel metrics and iterates.Core TasksSource expert candidates for 50+ concurrent roles using LinkedIn, GitHub, Discord, Slack, and academic channels.Screen for technical depth, communication, and fit for AI data work.Manage pipeline in ATS, schedule interviews, and drive candidates to completion.Write compelling outreach tailored to PhDs, engineers, lawyers, and specialists.Coordinate with Hiring Managers on calibration and priorities.Report weekly on funnel metrics, blockers, and hires.Maintain candidate experience bar while moving fast.RequirementsPortfolio: CV + 1 sample outreach message to a PhD + 1-min Loom walking through how you’d source for a “Quantum Physicist” role.Pass sourcing + screening assessment.10-20 hrs/week, flexible. NDA required. Rate by skill/performance.Apply + CV + Outreach Sample + LoomNote: Internal recruiting role to build micro1’s expert network, not agency recruiting
Optionally, you can add more information later (benefits, pre-screening questions, etc.)