About this role
Scale the human data engine behind frontier AI systems. Own onboarding, talent activation, and client success across high-velocity AI training deployments. Operate at the intersection of data, operators, and enterprise delivery.
Skills
Large Scale OnboardingStakeholder ManagementCross-functional CollaborationLeadership Skills
Key responsibilities
- Run large-cohort onboarding at scale (fast, clean, zero chaos).
- Activate and manage distributed talent pools powering AI training + data ops.
- Build and maintain high-trust enterprise client relationships.
- Anticipate blockers before they surface — solve with speed and clarity.
- Drive customer success outcomes across ongoing AI deployments.
- Publish weekly performance + milestone reports (no noise, high signal).
- Host community syncs / engagement rituals to keep operators sharp.
- Partner with product + engineering to align talent ops with shifting model and client needs.
- Continuously refine onboarding, QA, and retention systems using data.
Required skills & qualifications
- Elite written communicator. Clear. Structured. Direct.
- Proven operator in remote, distributed environments.
- Deep ownership mindset — you don’t “manage,” youown.
- Comfortable leading 100+ contributors without losing signal.
- Thrives in ambiguity, velocity, and constant iteration.
- Data-fluent — dashboards, KPIs, performance diagnostics.
Preferred qualifications
- Experience in Human Data, RLHF, AI training pipelines.
- Background working with enterprise AI or technical clients.
- Built or scaled data ops / talent ops systems before.
- Familiar with modern tooling (ATS, analytics, project ops, automation).
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