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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.
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.
Elite written communicator. Clear. Structured. Direct.
Proven operator in remote, distributed environments.
Deep ownership mindset — you don’t “manage,” you own .
Comfortable leading 100+ contributors without losing signal.
Thrives in ambiguity, velocity, and constant iteration.
Data-fluent — dashboards, KPIs, performance diagnostics.
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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).
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
Building AI recruitment software and AI training data infrastructure.
Visit company websiteJobs and hiring trendsUSD 50000-70000 yearly / year
Full-time
Mid
Remote
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